MSC Training is pleased to offer the following 3-day course to be run in Bath (14^th to 16^th March 2013) and in Central London (27^th to 29^th June 2013).

“Turn Your Data into Insights & Forecasts with Statistical Thinking” is intended for anyone in the public or private sector who needs to analyse & interpret the results of surveys and trials and/or data collected over time periods, identify significant impacts, changes & trends in their data and produce forecasts of the future. The end result of such analyses is to turn your data into actionable insights & forecasts that enables data-driven decisions to be made. To achieve this, a practical understanding of Statistical Thinking, Concepts, Inference & Forecasting ideas is essential and so, over the three days, you will learn the following:

· Day 1 – the practical application of the key statistical concepts of expectation, variance, probability, risk, distribution & correlation so that you can summarise your data efficiently and start the process of turning data into meaningful insights & trends.

· Day 2 – how to confirm your insights using hypothesis testing (T-tests, ANOVA, F-tests, Chi-squared test, etc) and how the design of your trials and surveys affects the insight you obtain from your data.

· Day 3 - how to identify trends & seasonality in your data and prove they are real using hypothesis tests. How to extract the underlying trend using moving averages, detect significant deviations from expected trends using the principles of SPC (Statistical Process Control) and to extrapolate trends into forecasts.

For more details on this course, please follow this link to our booking form. You are welcome to attend either one, two or all three days and if choosing one or two days, you are free to state which days you want to attend. Split bookings across the two venues are also permitted. For example, you could attend day 1 & 2 in Bath and then day 3 in London.

The cost per person is:

1. £350+VAT (£420 including VAT) for 1 day

2. £650+VAT (£780 including VAT) for 2 days

3. £900+VAT (£1080 including VAT) for 3 days.

MSC Training is pleased to offer either of the following discounts:

A. 20% off for your colleague: Any colleague you bring along with you will receive a 20% discount off the course fees listed above.

B. OR 4 places for the price of 3: Book 4 places and only pay for 3 places.

If you have 6 or more colleagues interested in attending then you will find our in-house course option more cost-effective. Our price for the same course as advertised here is £3,600 + venue hire + our travel expenses + VAT. For an additional fee, we can offer customized versions of this course that are more tailored to your requirements. Please contact MSC Training for details.

Nigel Marriott

MSC Training

www.marriott-stats.com/Training

Ground Floor, 21 Marlborough Buildings, Bath BA1 2LY, United Kingdom

Tel (office) +44 (0)1225 489033

MSC Training is a trading name of Marriott Statistical Consulting Limited, Company No. 5577275, VAT No. 883304029

Registered in England, Registered Office – Equity House, 4-6 School Road, Tilehurst, Reading, RG31 5AL

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to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_008A_01CDF26B.0C8B2340-- ========================================================================Date: Mon, 14 Jan 2013 11:38:58 -0400 Reply-To: Highland Statistics Ltd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Highland Statistics Ltd <[log in to unmask]> Subject: Course: Introduction to zero inflated models and GLMM MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Message-ID: <[log in to unmask]> We would like to announce the following statistics course: Introduction to zero inflated models and GLMM 13 - 16 May 2013. Elche, Spain. For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013_05Elche_ZIP.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [log in to unmask] URL: www.highstat.com URL: www.brodgar.com You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Mon, 14 Jan 2013 15:53:26 +0000 Reply-To: Bob Erens <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Bob Erens <[log in to unmask]> Subject: Free event: Payment-for-performance: incentivising quality in public services MIME-Version: 1.0 Content-Type: multipart/alternative; boundarydae93409a94f2f4e04d341a5ca Message-ID: <[log in to unmask]> --14dae93409a94f2f4e04d341a5ca Content-Type: text/plain; charset=ISO-8859-1 You may be interested in this free event next month *Payment-for-performance: incentivising quality in public services* * * * * *When: *Tuesday 19 February 2013, 5.30pm - 7.15pm *Where: *John Snow Theatre, London School of Hygiene & Tropical Medicine, Keppel Street, WC1E 7HT *Price: *Free, booking essential P4P aligns financial rewards with predefined performance targets. This payment mechanism is dominating the policy agenda in many countries and numerous schemes have been introduced with the aim of improving the quality and outcomes of public services. However, the current evidence base is incomplete and current schemes vary in design with differences in performance measurement, appraisal and reimbursement making it difficult to generalise about the benefits, risks and costs of P4P. Join us for a timely exploration of the gains that may be made by applying P4P techniques, as well as a cool appraisal of the limitations. For further details including the current programme and to book your place at this event: http://www.piru.ac.uk/?current-event=9 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --14dae93409a94f2f4e04d341a5ca Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. --14dae93409a94f2f4e04d341a5ca-- ========================================================================Date: Mon, 14 Jan 2013 15:40:54 +0000 Reply-To: Jason Howlin <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jason Howlin <[log in to unmask]> Subject: JOBS: Analyst roles in London and surrounding areas MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="_000_367804009176574788095217C6E887860701736EAAREDMAIL01redr_" Message-ID: <[log in to unmask]> --_000_367804009176574788095217C6E887860701736EAAREDMAIL01redr_ Content-Type: text/plain; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable Dear Allstat, I have numerous opportunities for Analysts in London and surrounding areas. Please get in touch if you have a strong Analytical background! Positions are: - Data Analyst - Machine Learning Analyst - Statistical Analyst - Commercial Analyst - Quantitative Analyst Various sectors including Finance, Retail, Big Data, Business Analytics, Data Mining, Data Visualisation, Marketing, etc. Whether you have a strong analytical degree or a PhD I'm keen to hear from you. Please send your CVs to [log in to unmask]. Regards Jason Howlin Redrock Consulting Ltd T: +44(0) 207 993 1385 M: +44(0) 7427 653 825 ________________________________ This communication (including any attachments) is confidential and intended for the addressee only. It may contain information that is privileged. If you are not the intended recipient please notify the sender immediately and delete it from your system. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_367804009176574788095217C6E887860701736EAAREDMAIL01redr_ Content-Type: text/html; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. --_000_367804009176574788095217C6E887860701736EAAREDMAIL01redr_-- ========================================================================Date: Mon, 14 Jan 2013 16:15:33 +0000 Reply-To: Nicola Pidduck <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Nicola Pidduck <[log in to unmask]> Subject: Burwalls Annual Meeting for Current & New Teachers of Medical Statistics 16th & 17th September Content-Type: multipart/alternative; boundary="_000_17414BBB2D421849A2DC52316C0864D80ECAC68EMBX07adoakoxacu_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_17414BBB2D421849A2DC52316C0864D80ECAC68EMBX07adoakoxacu_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Burwalls is historically a small annual meeting with the aim of encouraging and equipping those responsible for teaching statistics (and evidence based medicine) to medical students and other health care professionals. This year the meeting will be in Oxford, 16th-17th September. Scheduled events include a Bring'n'Buy sale of interactive teaching ideas, a Presentation Challenge to a small group of current students, and competitions for the best slide(s) for teaching subjects such as confidence intervals, in addition to a programme of invited and submitted posters and oral presentations. Please visit the Burwalls 2013 website to learn more about the programme: http://www.phc.ox.ac.uk/burwalls2013 Discounted registration is available until May for anyone submitting an abstract or taking part in one of the activities - see website for details. Please send queries to [log in to unmask] For more on the wider Burwalls programme and past meetings, see the Burwalls website here: http://burwalls.org.uk/wp/ Kind Regards, Nicola Medical Statistics University of Oxford Department of Primary Care Health Sciences You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_17414BBB2D421849A2DC52316C0864D80ECAC68EMBX07adoakoxacu_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Burwalls is historically a small annual meeting with the aim of encouraging and equipping those responsible for teaching statistics (and evidence based medicine) to medical students and other health care professionals.

This year the meeting will be in Oxford, 16th-17th September. Scheduled events include a Bring'n'Buy sale of interactive teaching ideas, a Presentation Challenge to a small group of current students, and competitions for the best slide(s) for teaching subjects such as confidence intervals, in addition to a programme of invited and submitted posters and oral presentations. Please visit the Burwalls 2013 website to learn more about the programme:

http://www.phc.ox.ac.uk/burwalls2013

Discounted registration is available until May for anyone submitting an abstract or taking part in one of the activities - see website for details.

Please send queries to [log in to unmask]

For more on the wider Burwalls programme and past meetings, see the Burwalls website here: http://burwalls.org.uk/wp/

Kind Regards,

Nicola

Medical Statistics

University of Oxford

Department of Primary Care Health Sciences

to [log in to unmask], leaving the subject line blank. --_000_17414BBB2D421849A2DC52316C0864D80ECAC68EMBX07adoakoxacu_-- ========================================================================Date: Mon, 14 Jan 2013 17:01:47 +0000 Reply-To: Emma Hollands <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Emma Hollands <[log in to unmask]> Subject: Short Courses at the SSC, University of Reading, UK in 2013 In-Reply-To: <[log in to unmask]> MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> V2UgYXJlIGFubm91bmNpbmcgdGhlIGZvbGxvd2luZyBzaG9ydCBjb3Vyc2VzLCB3aGljaCBhcmUg c2NoZWR1bGVkIHRvIHRha2UgcGxhY2UgYXQgdGhlIFN0YXRpc3RpY2FsIFNlcnZpY2VzIENlbnRy ZSBpbiAyMDEzLiBTdW1tYXJ5IGluZm9ybWF0aW9uIGlzIGdpdmVuIGJlbG93LiBGb3IgbW9yZSBk ZXRhaWxlZCBpbmZvcm1hdGlvbiBhbmQgcmVnaXN0cmF0aW9uIGZvcm1zIHBsZWFzZSBzZWUgaHR0 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ZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo========================================================================Date: Sat, 13 Feb 2010 17:42:38 -0000 Reply-To: owen murphy <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: owen murphy <[log in to unmask]> Subject: Re: Short courses in statistical methods - Lancaster University January-May 2013 Comments: To: "Lancaster, Gillian" <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_0011_01CAACD3.EF277D60" Message-ID: This is a multi-part message in MIME format. ------=_NextPart_000_0011_01CAACD3.EF277D60 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Gillian = 14 January 2013 This seems an interesting programme of courses. May I suggest, however- as has often been done on this site before- that you include in future postings brief details of the fees charged, so that readers do not have to spend time visiting a different site to find this key information. = Owen ----- Original Message ----- From: Lancaster, Gillian To: [log in to unmask] Sent: Monday, January 14, 2013 2:34 PM Subject: Short courses in statistical methods - Lancaster University January-May 2013 SHORT COURSES IN APPLIED STATISTICS AT LANCASTER UNIVERSITY for Scientists, Social Scientists and Health Researchers We offer a range of courses to help researchers and PhD students in analysing their data. The courses we are running in the lent and summer terms are as follows: 23-24 January Duration (Survival) Analysis 15 February Atlas.Ti 21-22 February Data Mining Techniques 28 Feb-1 March Using STATA 4-5 March Introduction to Bayesian Methods 7-8 March Statistical Modelling using SPSS (SPSS II) 18-19 March Quantifying and Evaluating Forensic Evidence 21-22 March Structural Equation Modelling 24-25 April Multi-level Models 1-2 May Methods for Missing Data 15-16 May Quantitative Criminology including latent class analysis To book a place and to see course descriptions please go to http://www.lancs.ac.uk/fas/cpd/statistics/ Contact for any queries: Angela Mercer Email: [log in to unmask] Short Course/Quantitative Methods for Science, Social Science and Medicine Postgraduate Administrator Department of Mathematics and Statistics C/o Postgraduate Statistics Centre Room 78 Lancaster University Lancaster __________ NOD32 4219 (20090705) Information __________ This message was checked by NOD32 antivirus system. http://www.eset.com You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0011_01CAACD3.EF277D60 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0011_01CAACD3.EF277D60-- ========================================================================Date: Mon, 14 Jan 2013 17:51:49 +0000 Reply-To: "Lucas, Ricardo" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lucas, Ricardo" <[log in to unmask]> Subject: JOB: Contract Statistician for top pharmaceutical company. Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CFB1F5HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CFB1F5HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb25lIG9mIG91ciBsYXRlc3QgY29udHJh Y3Qgc3RhdGlzdGljaWFuIHZhY2FuY3kgZm9yIHRoZSBVSyBhbmQgYSBicmllZiBqb2IgZGVzY3Jp cHRpb24gd29ya2luZyB3aXRoIGEgcGhhcm1hY2V1dGljYWwgY2xpZW50LgoKU1RBVElTVElDSUFO CjYgTU9OVEhTIENPTlRSQUNUCgpQb3NpdGlvbjogQ29udHJhY3QgQmlvc3RhdGlzdGljaWFuIChG dWxsIHRpbWUpClN0YXJ0IERhdGU6IEphbi9GZWIKUmF0ZTogQ29tcGV0aXRpdmUKTG9jYXRpb246 IExvbmRvbiBhbmQgSG9tZSBDb3VudGllcwpGbGV4aWJpbGl0eTogVXAgdG8gMyBkYXlzIGhvbWUg d29ya2luZwoKClJvbGUKCldlIGN1cnJlbnRseSBoYXZlIGFuIG9wcG9ydHVuaXR5IGZvciBhbiBl eHBlcmllbmNlZCBzdHVkeSBzdGF0aXN0aWNpYW4gd2l0aCBhIGdsb2JhbCBwaGFybWFjZXV0aWNh 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Reply-To: Cathryn Lewis <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Cathryn Lewis <[log in to unmask]> Subject: JOB: Statistical Genetics academic post, King's College London Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> We are recruiting for a new academic post in statistical genetics at the Institute of Psychiatry, King's College London: http://www.nature.com/naturejobs/science/jobs/299921-Lecturer-Senior-Lecturer-Reader-and-or-Professor-Appointments As the link above describes, we will make several appointments, including one specifically in statistical genetics. We are looking for a productive researcher who is involved in methodological development, can collaborate widely, and who will get involved in on-going studies at the SGDP. Kingâ€™s College London has a thriving Statistical Genetics Unit with 15 academics, postdoctoral fellows and PhD students. See: http://www.kcl.ac.uk/medicine/research/divisions/gmm/Departments/mmg/researchgroups/clewis/sgu/index.aspx I am happy to discuss the role further ([log in to unmask]) Cathryn Lewis Cathryn Lewis Professor of Genetic Epidemiology and Statistics, King's College London Division of Genetics and Molecular Medicine, KCL School of Medicine Tel: 44-(0)20-7188-2601. Fax: 44-(0)20-7188-2585 and MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, KCL Tel: 44-(0)20-7848-0661, Fax: 44-(0)20-7848-0866 ------------------------------------------------------------------------------------------- Lecturer, Senior Lecturer, Reader and/or Professor Appointments The MRC Social, Genetic and Developmental Psychiatry Centre (SGDP) invites applications for a range of positions to complement and extend the world-class research and teaching within the department. The MRC SGDP Centreâ€™s mission includes research on the impact of and interplay between genetic, environmental and developmental factors. In the most recent RAE the SGDP was described as â€œworld-leadingâ€ in its environment and outputs. The Centre provides an unrivalled opportunity to benefit from interdisciplinary research excellence, and large clinical and population cohorts with extensive longitudinal phenotypic and molecular data. The post holder(s) will reinforce substantial strengths in interdisciplinary research and teaching and take a lead in developing new research directions. Applications are welcome from both clinical and non-clinical scientists with a background in any area related to the Departmentâ€™s research mission. Researchers in the following areas are particularly encouraged to apply: Genomics (molecular genetics, transcriptomics, epigenetics); Quantitative Genetics; Statistical Genetics; Neuro-cognitive development; Biological embedding of experience; Developmental disorders. Senior post holders will be expected to demonstrate research excellence at an international level as established by intellectual leadership, publications and grant-funding. Junior appointments will be expected to show promise of the ability to attain these levels in the future. The posts are full-time and based at the Institute of Psychiatry (Denmark Hill Campus) in south-east London, and will come with an attractive and competitive compensation and possible relocation package. Individual appointments will be made dependent on relevant qualifications and experience at Lecturer, Senior Lecturer, Reader or Professor level. Appointment to the appropriate clinical or non-clinical scales will be based on qualifications and precise individual role details. Clinical post holders will receive appropriate honorary appointments in partner NHS Trusts. Up to four posts are available in the department. Please contact Professor Francesca HappÃ© if you want to discuss your interests (email [log in to unmask] or telephone 020 7848 0871) Further information and application instructions can be found on our website http://www.kcl.ac.uk/jobs or by emailing [log in to unmask] Reference 12/A30. Deadline: 3rd February 2013. Equality of opportunity is College policy You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 08:29:19 +0200 Reply-To: osama hussien <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: osama hussien <[log in to unmask]> Subject: ALEXANDRIA CONFERENCE Comments: To: [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], sibelal <[log in to unmask]>, soadelgendy <[log in to unmask]>, 4-Turkey 4-Turkey <[log in to unmask]>, "a.dembinska a.dembinska" <[log in to unmask]>, Abdallah Awad <[log in to unmask]>, ABERA <[log in to unmask]>, Adam Butler <[log in to unmask]>, Ahsanullah Ahsanullah <[log in to unmask]>, "Alaa Barry, Alla" <[log in to unmask]>, aladag <[log in to unmask]>, Alicja Rudnicka <[log in to unmask]>, Altmann G <[log in to unmask]>, androw wood <[log in to unmask]>, Anthony Staines <[log in to unmask]>, Arther Arther <[log in to unmask]>, asquith <[log in to unmask]>, bel <[log in to unmask]>, Ben Cowley <[log in to unmask]>, "BXC (Bendix Carstensen)" <[log in to unmask]>, Carlos Ferreira <[log in to unmask]>, Chairman Statistics_AMU <[log in to unmask]>, Charalambides Charalambedis <[log in to unmask]>, "Christie, Laura" <[log in to unmask]>, Chunsheng Ma Chunsheng Ma <[log in to unmask]>, Cramer cramer <[log in to unmask]>, dave thomas <[log in to unmask]>, "deleeuw ucla.edu" <[log in to unmask]>, Diana Scriven <[log in to unmask]>, dir-attock <[log in to unmask]>, Edward Sayre <[log in to unmask]>, Emma Hollands <[log in to unmask]>, Erricos Kontoghiorghes <[log in to unmask]>, Felix Felix <[log in to unmask]>, Fikret ER <[log in to unmask]>, fkaya fkaya <[log in to unmask]>, frank izsak <[log in to unmask]>, Gemma Robson <[log in to unmask]>, Geoffrey Hubona <[log in to unmask]>, Gillian Meadows <[log in to unmask]>, Guy Nason <[log in to unmask]>, "H. N. Nagaraja" <[log in to unmask]>, hashemite university Hashemite <[log in to unmask]>, Helen Brown <[log in to unmask]>, HOSKING <[log in to unmask]>, ikinaci ikinaci <[log in to unmask]>, Ismahan <[log in to unmask]>, ITS <[log in to unmask]>, James Brough <[log in to unmask]>, Jenny Tyler <[log in to unmask]>, Jeroen Ooms <[log in to unmask]>, Jim Silverton <[log in to unmask]>, Johan LIm Johan LIm <[log in to unmask]>, johanlim johanlim <[log in to unmask]>, Keith Hoddy <[log in to unmask]>, Khan Khan <[log in to unmask]>, Kim Cocks <[log in to unmask]>, krzys krzys <[log in to unmask]>, "Lancaster, Gillian" <[log in to unmask]>, "Lausen, Berthold" <[log in to unmask]>, Lyn Grove <[log in to unmask]>, "Macfarlane, Alison" <[log in to unmask]>, Magne Aldrin <[log in to unmask]>, mark caruana <[log in to unmask]>, Mark Coleman <[log in to unmask]>, McHale Ian <[log in to unmask]>, munir <[log in to unmask]>, "N. N. Balakrishnan" <[log in to unmask]>, Neal Fultz <[log in to unmask]>, Nicholas Beale <[log in to unmask]>, nkaradayi nkaradayi <[log in to unmask]>, nour 7assan <[log in to unmask]>, Omer Otzek Omer Otzek <[log in to unmask]>, Omiros Papaspiliopoulos <[log in to unmask]>, ouldaboubecrine ouldaboubecrine <[log in to unmask]>, P-4 P-4 <[log in to unmask]>, P-5 P-5 <[log in to unmask]>, P-7 P-7 <[log in to unmask]>, p10 p10 <[log in to unmask]>, p11 p11 <[log in to unmask]>, p14 p14 <[log in to unmask]>, p15 p15 <[log in to unmask]>, p17 p17 <[log in to unmask]>, p25 p25 <[log in to unmask]>, p26 p26 <[log in to unmask]>, p27 p27 <[log in to unmask]>, p30 p30 <[log in to unmask]>, p33 p33 <[log in to unmask]>, p41 p41 <[log in to unmask]>, p42 p42 <[log in to unmask]>, p52 p52 <[log in to unmask]>, p58 p58 <[log in to unmask]>, p59 p59 <[log in to unmask]>, p71 p71 <[log in to unmask]>, Pam Bye <[log in to unmask]>, Park Park <[log in to unmask]>, Patrick Alexander <[log in to unmask]>, Paul Baxter <[log in to unmask]>, "Raja.halipah" <[log in to unmask]>, Raqab Raqab <[log in to unmask]>, richard bowyer <[log in to unmask]>, Robert Gould <[log in to unmask]>, ronchetti <[log in to unmask]>, ronchetti <[log in to unmask]>, Rose Palmer <[log in to unmask]>, Roxy Naranjo <[log in to unmask]>, "[log in to unmask]" <[log in to unmask]>, Salvatore Ingrassia <[log in to unmask]>, Sarah Fleming <[log in to unmask]>, SAS ACADIMIC <[log in to unmask]>, sbilal_sbilal <[log in to unmask]>, Shakil Shakil <[log in to unmask]>, "Shlomo N." <[log in to unmask]>, Simon Carkeek <[log in to unmask]>, Simon Carkeek <[log in to unmask]>, Sinead O Neill <[log in to unmask]>, "Spencer, Neil" <[log in to unmask]>, spryszyn spryszyn <[log in to unmask]>, swallow <[log in to unmask]>, trychlik <[log in to unmask]>, Vincent Granville <[log in to unmask]>, "Walker, Neil" <[log in to unmask]>, zahoor_ahmed <[log in to unmask]>, zammar <[log in to unmask]>, =?UTF-8?B?2KfYqtmK2LQg2YPZiNmF2KfYsQ==?= <[log in to unmask]>, =?UTF-8?B?2K8g2YXZhtmK2LE=?= <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundarydae93406e3b6845304d34de100 Message-ID: <[log in to unmask]> --14dae93406e3b6845304d34de100 Content-Type: text/plain; charset=ISO-8859-1 THE DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCES, FACULTY OF SCIENCE AND THE DEPARTMENT OF STATISTICS, FACULTY OF COMMERCE WILL JOINTLY ORGANIZE THE SECOND THE SECOND ALEXANDRIA INTERNATIONAL CONFERENCE OF STATISTICS. STATISTICS AND SCIENTIFIC DEVELOPMENT FROM 1-3 SEPTEMBER 2013 THE LAST DATE TO SUBMIT ABSTRACTS 5 JUNE 2013 THE LAST DATE TO SUBMIT COMPLETE CONTRIBUTED PAPERS 15 JULY 2013 A SPECIAL INVITED SESSIONS WILL BE HELD TO HONOUR THE MEMORY OF THE LATE PROF. ABDELMOURDY AZZAAM AND PROF. YEHIA ELBASOUNY. THE ACCEPTED PAPERS WILL BE PUBLISHED AT HIGH RANKED JOURNAL. A GRADUATION CEREMONY FOR THE FIRST CERTIFIED SAS PROGRAMERS GROUP TRAINED AT ALEXANDRIA UNIVERSITY ACCORDING TO THE ACADEMIC PROGRAM WITH SAS WILL BE HELD. FOR MORE INFORMATION VISIT OUR PAGE ON THE FACEBOOK "ALEXANDRIA INTERNATIONAL CONFERENCE OF STATISTICS" OR CONTACT THE CONFERENCE COORDINATORS: PROF. MAHMOUD GABR PROF. OSAMA HUSSIEN [log in to unmask] -- Prof. Dr. Osama Abdelaziz Hussien Chairman of the Department of Statistics Faculty of Commerce Alexandria University Egypt You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --14dae93406e3b6845304d34de100 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. --14dae93406e3b6845304d34de100-- ========================================================================Date: Tue, 15 Jan 2013 09:33:30 +0000 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Tim Collier <[log in to unmask]> Subject: COURSE: MSc Medical Statistics, LSHTM Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="=__Part95A43D7A.0__=" Message-ID: <[log in to unmask]> --=__Part95A43D7A.0__Content-Type: multipart/alternative; boundary="=__Part95A43D7A.1__=" --=__Part95A43D7A.1__Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: quoted-printable Just graduating with a maths/science degree? Unsure what to do next? Have you considered becoming a medical statistician? A career in medical statistics gives an opportunity to be involved in research of direct benefit to people, from public health research through to drug development. Work is characterised by stimulating practical problems and interactions with researchers from other disciplines. The MSc in Medical Statistics at LSHTM has been training medical statisticians for more than 40 years and many leading medical statisticians worldwide are graduates of our MSc. The course is characterised by a blend of theory and practical applications - lectures are followed by practical sessions - and are taught by subject experts all of whom are research active. The LSHTM is an internationally renowned postgraduate centre of global health research in the heart of London. Graduates from our MSc typically go on to pursue careers in medical and epidemiological research in academic institutions, hospitals, the pharmaceutical industry and various public sector institutions. Furthermore, there is a world shortage of well qualified medical statisticians so job prospects are excellent. A number of scholarships (fees plus a generous tax free living allowance) are available each year for UK/EU applicants. Anyone interested in applying for this year's course, starting September 2013, should apply as soon as possible. For full details of the course, scholarships and application process, go to: http://www.lshtm.ac.uk/study/masters/msms.html or email [log in to unmask] Tim Collier ............................................................ Course Director Medical Statistics MSc Lecturer in Medical Statistics Medical Statistics Department Faculty of Epidemiology & Population Health London School of Hygiene & Tropical Medicine Tel: +44 (0) 20 7927 2426 - direct +44 (0) 20 7637 2853 - fax Email: [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --=__Part95A43D7A.1__Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: quoted-printable Content-Description: HTML

to [log in to unmask], leaving the subject line blank. --=__Part95A43D7A.1__=-- --=__Part95A43D7A.0__=-- ========================================================================Date: Tue, 15 Jan 2013 09:46:01 +0000 Reply-To: James Phillips <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: James Phillips <[log in to unmask]> Subject: JOBS- StatsJobs.com - weekly job alert Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Ten jobs have been added to StatsJobs in the past week - visit StatsJobs.com to view the full details and to apply. Biostatistician | Oklahoma Medical Research Foundation | Oklahoma Join our fight against Autoimmune Diseases! Make a difference by performing various analyses, including but not limited to, parametric and non-parametric statistics, evaluating statistical methods and procedures, interpreting data, preparing conclusions, identifying trends, and reporting results. Assist scientists in designing lab experiments to facilitate data analysis. Plan data collection methods for specific projects and determine ... Data Analyst / Statistician | Norbrook | Ulster An excellent opportunity has arisen within our Research & Development Department for a highly determined and ambitious individual wanting to become part of a successful team. The successful candidate will be responsible for analysing data obtained from pre-clinical and clinical trials using recognised statistical methods required by Regulatory Authorities. He/she will work in a GLP ... Director, Statistics | International Monetary Fund | Washington, USA The International Monetary Fund-an international organization with a diverse staff, men and women drawn from over 160 countries-has an opening for the position of Director of its Statistics Department. The Departmentâ€™s mission is to provide strong leadership for the development and application of sound statistical practices in the Fund, member countries, and the international statistical ... Statistical Researcher | Dubai Chamber | Dubai Dubai Chamber is increasingly recognized as imperative source of comparative advantages for businesses in Dubai, and the ultimate partner for businesses for the achievement of a sustainable economic growth in the short and long-run. This is being achieved by providing high quality services to the business community in Dubai. The job holder is responsible for ... Statistician | Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital | Oxford Applications are invited for a statistician to work within the Stroke Prevention Research Unit (led by Professor Peter Rothwell) in the Nuffield Department of Clinical Neurosciences, University of Oxford. The Stroke Prevention Research Unit is funded by the Wellcome Trust and the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre Programme. The unit ... Statistician/Engineering Analyst | Google | London At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Googleâ€™s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing ... Longevity Risk Modelling Statistician | Legal & General Group | Kingswood This is an exciting opportunity for a statistician to join the successful, and highly respected, Longevity Risk Team. You will gain a range of new skills and experiences by working with a talented team of experienced and enthusiastic professionals including, actuaries, statisticians and research scientists. You will develop statistical models of annuitant mortality and provide ... Senior Biostatistician | INC Research | London Acts as the lead or back-up statistician for multiple projects with any level of complexity. Acts as the primary contact with the sponsor for all biostatistics related activities on assigned projects. Helps manage clinical trials efficiently by providing accurate and consistent information to both sponsors and Company business/functional units. Core Responsibilities 1. Collaborates in the ... Senior Statistician | Novartis | Basel, Switzerland The Senior TA Statistician is responsible for all statistical tasks of individual clinical trials. He/she may take on project level tasks of a Program Statistician, initially under the supervision of a more experienced Statistician/Group Head but with increasing autonomy and accountability. Be responsible for all statistical tasks on the assigned clinical trials, and perform these ... Senior Research Assistant/Research Fellow | Southampton Statistical Sciences Research Institute | Southampton Applications are invited for a Senior Research Assistant/Research Fellow in Health Statistics in the Southampton Statistical Sciences Research Institute (S3RI, http://www.southampton.ac.uk/s3ri/). More details at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=191013WT Your duties will include; providing statistical support for various projects undertaken by members of the Faculty of Health Sciences, including advice on design questions, data analysis and statistical packages. This ... You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 09:56:36 -0000 Reply-To: Stewart Ellison <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Stewart Ellison <[log in to unmask]> Subject: JOB: PHASTAR: Senior clinical trial statistical programmer MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_0022_01CDF306.9BC73710" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_0022_01CDF306.9BC73710 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Looking to challenge yourself in a technical programming role supporting a top 10 pharma client in 2013? PHASTAR is looking to recruit a senior clinical trial programmer with at least three years industry experience programming in SAS (ideally some R experience too). If successful in this role, you will be responsible for programming and QC of TFL's and datasets, and will be supporting phase III trials and integrated global submissions. In addition, you will be engaged in converting SDTM and AdaM datasets into CDISC, so experience in this field is preferable. - Advance your career in intellectually-stimulating, dynamic, supportive environment - Variety of challenging projects with large, reputable pharma companies - Excellent remuneration (competitive salary, pension, healthcare, and training) - Actively contribute to PHASTAR research for journals and presentations - Company owned and run by statisticians and programmers (mentoring programme in place) - All applicants will be contacted within three working days PHASTAR has built a reputation within top ten pharma companies as a leader in the provision of high quality clinical trial statistics and programming services. We understand the importance of developing great people to ensure this reputation for quality continues to grow. You will be mentored by managers with substantial hands-on industry experience in a range of therapeutic areas. You are required to have at least three years SAS programming experience and relevant qualifications. You should possess effective communication skills, and be confident liaising with clients. Contact Stewart confidentially: [log in to unmask] or call 0207 183 7062 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0022_01CDF306.9BC73710 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Looking to challenge yourself in a technical programming role supporting a top 10 pharma client in 2013?

PHASTAR is looking to recruit a senior clinical trial programmer with at least three years industry experience programming in SAS (ideally some R experience too). If successful in this role, you will be responsible for programming and QC of TFL’s and datasets, and will be supporting phase III trials and integrated global submissions. In addition, you will be engaged in converting SDTM and AdaM datasets into CDISC, so experience in this field is preferable…

- Advance your career in intellectually-stimulating, dynamic, supportive environment

- Variety of challenging projects with large, reputable pharma companies

- Excellent remuneration (competitive salary, pension, healthcare, and training)

- Actively contribute to PHASTAR research for journals and presentations

- Company owned and run by statisticians and programmers (mentoring programme in place)

- All applicants will be contacted within three working days

PHASTAR has built a reputation within top ten pharma companies as a leader in the provision of high quality clinical trial statistics and programming services. We understand the importance of developing great people to ensure this reputation for quality continues to grow. You will be mentored by managers with substantial hands-on industry experience in a range of therapeutic areas. You are required to have at least three years SAS programming experience and relevant qualifications. You should possess effective communication skills, and be confident liaising with clients.

Contact Stewart confidentially: [log in to unmask] or call 0207 183 7062

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0022_01CDF306.9BC73710-- ========================================================================Date: Tue, 15 Jan 2013 11:21:27 +0000 Reply-To: "Kells, Richard" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Kells, Richard" <[log in to unmask]> Subject: COURSE: Intermediate Statistics Using SPSS course at Imperial College Content-Type: multipart/alternative; boundary="_000_82CDED4F9ADC454684252C0CE48052532FDC67B8icexchm5icacuk_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_82CDED4F9ADC454684252C0CE48052532FDC67B8icexchm5icacuk_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable We still have places available on next weeks Intermediate Statistics Using SPSS course... _______________________________________________ Intermediate Statistics Using SPSS * Tue 22 & Wed 23 January 2013 (10.00-17.00) Weblink: www3.imperial.ac.uk/stathelp/courses/spsscourses/intermediatespss _______________________________________________ We currently provide courses in SPSS, Stata, Matlab & Clinical Trials. Please contact +44 (0)20 7594 3856 or [log in to unmask] for further information. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_82CDED4F9ADC454684252C0CE48052532FDC67B8icexchm5icacuk_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

We still have places available on next weeks Intermediate Statistics Using SPSS course...

_______________________________________________

Intermediate Statistics Using SPSS

· Tue 22 & Wed 23 January 2013 (10.00-17.00)

Weblink: www3.imperial.ac.uk/stathelp/courses/spsscourses/intermediatespss

_______________________________________________

We currently provide courses in SPSS, Stata, Matlab & Clinical Trials. Please contact +44 (0)20 7594 3856 or [log in to unmask] for further information.

to [log in to unmask], leaving the subject line blank. --_000_82CDED4F9ADC454684252C0CE48052532FDC67B8icexchm5icacuk_-- ========================================================================Date: Tue, 15 Jan 2013 11:21:29 +0000 Reply-To: CASS <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: CASS <[log in to unmask]> Subject: S3Ri Short Course - University of Southampton Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> SHORT COURSE ANNOUCEMENT: Advanced Statistical Methods in Epidemiology â€“ 3-Day Course University of Southampton, 4-6 February 2013 Presenters: Professor Dankmar BÃ¶hning, Dr Antonello Maruotti This course will focus on the application of statistical methods specially developed for epidemiological study data. Topics will include the basic disease occurrence measures of prevalence and incidence with their role in surveillance including standardization, Mantel-Haenszel estimation of various effect measures including the risk ratio and risk difference for cohort studies and the odds ratio for case-control studies as well as Poisson and logistic regression to adjust for potential confounders simultaneously. The course will also include elements of time-to-event analysis including Kaplan-Meier estimation and Coxâ€™ proportional hazards model for confounder adjustment. The course will include a mixture of lectures and practical workshops using the software STATA. Target Audience: The course is aimed at researchers who want to perform statistical modelling and analysis of epidemiological study data. Participants may be academic researchers in the medical and health or social sciences or may work in government, pharmaceutical industry, or other parts of the private sector. Course Fee: Â£150 per day for registered students. Â£200 per day for staff from academic institutions (including research centres). Â£250 per day for all other participants. The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant. Further Information: http://www.southampton.ac.uk/s3ri/events/courses/details.php?id=224 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 15:17:08 +0000 Reply-To: Alan Rossington <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Alan Rossington <[log in to unmask]> Subject: JOB: Assistant Statistical Programmer (6 Month Contract) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Dear Allstat The following opportunity has arisen for an Assistant Statistical Programmer (6-month fixed term contract) at Smith & Nephew, Hull. --------------------------------------- The Company: For over 150 years, Smith & Nephew has developed advanced medical devices for healthcare professionals around the world. Our pioneering technologies enable nurses, surgeons and other medical practitioners to provide effective treatment more quickly and economically. Smith & Nephew is an industry leader in each of our main Divisions - Advanced Surgical Devices and Advanced Wound Management. These businesses jointly offer over 1,000 product ranges. Advanced Wound Management is headquartered in Hull. The Role: Based in our Outcomes Research team, the jobholder will develop SAS programs for the clinical data management and statistical reporting of clinical study data, ensuring that all processing is accurate and in compliance with department systems. Under the guidance/coaching of a statistical programmer, you will be required to: Develop, test and run SAS programs for the statistical analysis and reporting of clinical study data. This includes programs for analysis datasets, tables and graphics. Develop, test and run SAS programs for clinical data management data validation and compliance checks. Liaise with CDM and stats on validation plan specifications. Generate randomisation schedules, inserts/labels files for code break/randomisation envelopes and study supplies labels files. Personal development in BASE SAS and SAS Macro programming through on-the-job training, self-learning and external courses. Candidate Requirements: Some experience in programming Holds a degree or equivalent in the area of IT / Maths / Statistics. Needs to be organised, pro-active and able to work in a team environment Keen eye for detail Good communication skills Salary: Â£22,000 - Â£25,000 To Apply: Please e-mail your CV and covering letter to Elaine Moon in Human Resources at Smith & Nephew: [log in to unmask] Closing date: Friday 18th January 2013. http://www.smith-nephew.com --------------------------------------- Kind Regards Alan Rossington Senior Statistical Programmer Smith & Nephew Wound Management, 101 Hessle Road, Hull, HU3 2BN You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 16:15:29 +0000 Reply-To: Jim Griffin <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jim Griffin <[log in to unmask]> Subject: JOB Permanent Job at University of Kent MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 8bit Message-ID: <[log in to unmask]> Senior Lecturer in Statistics (Full-time and permanent) University of Kent, School of Mathematics, Statistics & Actuarial Science Salary range: £45,486 - £52,706 Closing date: Sun 20 Jan 2013 Interviews: Weds 13 Feb 2013 Reference: STM0293 We are looking for someone with a strong track record in research, evidenced by publications in leading statistical journals, and the potential to attract external research funding. He/she will be expected to further enhance the international research profile of the Statistics Group both individually and through interactions with other members of the Group. The successful applicant will also be expected to contribute strongly to teaching at both undergraduate and postgraduate level. The Statistics group at Kent currently comprises 6 Professors, 1 Reader and 7 Lecturers, with three research associates and 14 PhD students. In RAE 2008, 65% of our research was assessed as internationally excellent or world leading. Our research emphasis is broad, including Bayesian methods, particularly Bayesian nonparametrics and MCMC, statistical ecology, nonparametric regression, applied probability and risk, time series and finance, medical image analysis, biological modelling and shape analysis. We have good collaborative links on campus, for example with the School of Biosciences and the Durrell Institute of Conservation Ecology. The Statistics Group is part of the School of Mathematics, Statistics and Actuarial Science, which has nearly 50 full-time academic staff and offers a variety of UG and PG degrees, with about 950 current students. As well as a BSc in Mathematics and Statistics, we have a long-running MSC programme in Statistics and a recently launched MSc in Statistics with Finance. For further particulars, or to make an application, visit http://www11.i-grasp.com/fe/tpl_kent01.asp?newms=jj&id6684&aid243 Informal enquiries can be made to: Professor Martin Ridout ([log in to unmask]) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 10:09:40 -0700 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dorothy Middleton <[log in to unmask]> Subject: Online interactive statistics courses this February with Instructor Comments: To: [log in to unmask], [log in to unmask] Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Mime-Version: 1.0 Message-ID: <[log in to unmask]> For more information, see http://statcourse.com Sample Size Determination Three lessons in three weeks. Binomial and Poisson trials. Continuous measurements. Sequential trials plus a topic determined by course participants. Begins February 15th 2013. Cost $199. Analyzing Large Numbers of Variablesâ€”Microarrays, EEG's, MRI's fMRI's. This four-week course will show you how to analyze data with large numbers of variables most effectively and introduce you to the software that can do the job. Emphasis on the use of the bootstrap, decision trees, and permutation tests. Begins February 15th 2013. $345. Business Analytics. This four-week course will provide you with the analytics you need to do market research and sales analyses to improve profitability and expand business. Employees and managers from small companies are particularly welcome, as this course introduces concepts and practices used by large companies and multinationals. You'll be shown how to implement analytics even with a relatively small budget and training time. Begins 16th December 2012. $495. Additional enrollees from the same firm are only $395. Early-bird discount of $90 if you enroll before 6th December 2012. Meta-Analysis Using R. Three lessons in three weeks. Begins 15 February 2013.. Combine data from multiple studies. Fixed- effects and random-effects meta-analysis models. Identifying publication bias. R packages "rmeta" and "meta" will be introduced for the step-by-step implementation with "forest" and "funnel" plots. $299 per participant. For more information, see http://statcourse.com To obtain a coupon for an academic or government discount, write [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 17:19:02 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Contract SAS Programmer | CDISC Standards | London, UK | =?iso-8859-1?Q?£45-£50_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD17Emsx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD17Emsx1s2berdlpl_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear Allstat, Can you see yourself working for a global Pharmaceutical company in the London area? I am currently looking to recruit an experienced SAS programmer for a 6 month contract working in the office in Greater London. They are well-known for their attractive working environment and are offering a rate of £45 upwards. Contract SAS Programmer | CDISC Standards | London, UK | £45-£50 per hour For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665 Requirements: At least 4/5 years of SAS programming experience in pharmaceutical and/or CRO environment as a data management programmer or statistical programmer Very good SAS programming knowledge (Base SAS, SAS/GRAPH, SAS/STAT, macro programming, reporting, SQL), familiarity with ODS RTF/ HTML Knowledge of the data management process in clinical drug development Good knowledge of medical coding processes, standards and issues Expertise in working with pooled, safety and efficacy data Good analytical skills Excellent interpersonal and team working skills Good communication and presentation skills, both oral and written Knowledge of regulatory requirements, e.g. CDISC Standards, ICH guidelines for statistical reporting Comprehensive knowledge of clinical and pharmaceutical drug development process and GCP requirements Multiple phase experience in clinical research The ability to work independently and prioritise one's own workload Advantageous: A sound understanding of basic statistical principles and the basics of statistical programming Experience in safety data analysis Programming skills in any of the following: JavaScript/VBScript, Java, VBA, XML, XSLT, SQL, Microsoft Excel Exposure to investigational new drug application (IND) annual reports and Development Safety Update Reports (DSURs) Experience of signal detection in clinical data For further details or a confidential conversation please contact me directly: Doug Roberts Pharmaceutical, Healthcare & CRO Division Statistics, Biostatistics & Programming Tel: +44 (0) 207 255 6665 [log in to unmask] Pharmaceutical, clinical trials, senior programmer, statistical SAS programmer, SAS, programmer, programming, CDISC, ADaM, SDTM, biostatistics, biostatistician. __________________________________________________________________________________________________________________________ ________________________________ SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD. IMPORTANT NOTICE: The information in this e-mail and any attached files is CONFIDENTIAL and may be legally privileged or prohibited from disclosure and unauthorised use. The views of the author may not necessarily reflect those of the Company. It is intended solely for the addressee, or the employee or agent responsible for delivering such materials to the addressee. If you have received this message in error please return it to the sender then delete the email and destroy any copies of it. If you are not the intended recipient, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication or any action taken or omitted to be taken in reliance upon this message or its attachments is prohibited and may be unlawful. At present the integrity of e-mail across the Internet cannot be guaranteed and messages sent via this medium are potentially at risk. All liability is excluded to the extent permitted by law for any claims arising as a result of the use of this medium to transmit information by or to SEC Recruitment Limited. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD17Emsx1s2berdlpl_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Dear Allstat,

Can you see yourself working for a global Pharmaceutical company in the London area? I am currently looking to recruit an experienced SAS programmer for a 6 month contract working in the office in Greater London. They are well-known for their attractive working environment and are offering a rate of £45 upwards.

Contract SAS Programmer | CDISC Standards | London, UK | £45-£50 per hour

For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665

Requirements:

At least 4/5 years of SAS programming experience in pharmaceutical and/or CRO environment as a data management programmer or statistical programmer
Very good SAS programming knowledge (Base SAS, SAS/GRAPH, SAS/STAT, macro programming, reporting, SQL), familiarity with ODS RTF/ HTML
Knowledge of the data management process in clinical drug development
Good knowledge of medical coding processes, standards and issues
Expertise in working with pooled, safety and efficacy data
Good analytical skills
Excellent interpersonal and team working skills
Good communication and presentation skills, both oral and written
Knowledge of regulatory requirements, e.g. CDISC Standards, ICH guidelines for statistical reporting
Comprehensive knowledge of clinical and pharmaceutical drug development process and GCP requirements
Multiple phase experience in clinical research
The ability to work independently and prioritise one’s own workload

Advantageous:

A sound understanding of basic statistical principles and the basics of statistical programming
Experience in safety data analysis
Programming skills in any of the following: JavaScript/VBScript, Java, VBA, XML, XSLT, SQL, Microsoft Excel
Exposure to investigational new drug application (IND) annual reports and Development Safety Update Reports (DSURs)
Experience of signal detection in clinical data

For further details or a confidential conversation please contact me directly:

Doug Roberts
Pharmaceutical, Healthcare & CRO Division
Statistics, Biostatistics & Programming
Tel: +44 (0) 207 255 6665
[log in to unmask]

Pharmaceutical, clinical trials, senior programmer, statistical SAS programmer, SAS, programmer, programming, CDISC, ADaM, SDTM, biostatistics, biostatistician.
__________________________________________________________________________________________________________________________

to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD17Emsx1s2berdlpl_-- ========================================================================Date: Tue, 15 Jan 2013 18:30:46 +0000 Reply-To: Dankmar Boehning <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dankmar Boehning <[log in to unmask]> Subject: JOB: Senior Research Assistant/Research Fellow in Health Statistics Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Senior Research Assistant/Research Fellow in Health Statistics University of Southampton (repeated announcement) Location: Highfield Campus Salary: Â£27,578 to Â£33,884 Pro rata per annum Part Time Fixed Term Closing Date: Thursday 31 January 2013 Interview Date: To be confirmed Reference: 191013WT (Part Time, Fixed Term for 2 years) Applications are invited for a Senior Research Assistant/Research Fellow in Health Statistics in the Southampton Statistical Sciences Research Institute (S3RI, http://www.southampton.ac.uk/s3ri/). More details at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=191013WT Your duties will include; providing statistical support for various projects undertaken by members of the Faculty of Health Sciences, including advice on design questions, data analysis and statistical packages. This will be done in coordination with other members of S3RI which you will have to organise. You will also be encouraged to develop your own lines of research and apply for externally funded research grants. You will have or be close to completing a PhD in Statistics or a related discipline, or an MSc in statistics with some professional experience. You will have knowledge of statistical modelling and inference, and experience of statistical computing and knowledge and experience in statistical packages including SPSS, SAS, MINITAB or STATA. Knowledge and experience of managing health-related datasets would be advantageous. The position is tenable from 1 March 2013, or as soon as possible thereafter. Informal enquiries may be made to the Director of S3RI, Professor Peter W. F. Smith, telephone +44 (0)23 8059 43211, email: [log in to unmask] or Professor Dankmar A.W. BÃ¶hning, telephone +44 (0)23 8059 6712, email: [log in to unmask] It is anticipated that interviews will be held in the first half of February 2013. The closing date for applications is 31 January 2013. Interviews will take place 12 February 2013. Please apply through www.jobs.soton.ac.uk. Please quote vacancy reference number 191013WT on all correspondence. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Tue, 15 Jan 2013 19:33:19 +0000 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Tim Collier <[log in to unmask]> Subject: COURSE: Clinical Trials Short Course: LSHTM June 2013 Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="=__Part8CBD24EF.0__=" Message-ID: <[log in to unmask]> --=__Part8CBD24EF.0__Content-Type: multipart/alternative; boundary="=__Part8CBD24EF.1__=" --=__Part8CBD24EF.1__Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: quoted-printable CLINICAL TRIALS SHORT COURSE: 10-14 June 2013 London School of Hygiene & Tropical Medicine The course provides an introduction to the area of Randomised Clinical Trials (RCT), particularly phase III trials, with more detailed coverage of some of the key issues to be considered in their design, analysis and interpretation. The topics to be covered will include: - Design of a RCT: randomisation, trial size, 'alternative' designs and ethical issues - Trial management: data monitoring and stopping rules - Analysis and reporting: introduction to statistical issues for a RCT - Ensuring quality standards: certified training in Good Clinical Practice (GCP) - Practical development of a RCT protocol. (Participants will work in small groups to develop and present trial protocols.) The course is relevant to all those with an interest in the rigorous evaluation of interventions in health care, particularly clinicians and others working or intending to work in the health services or related areas such as the pharmaceutical industry. All students completing the course will obtain a Certificate of Attendance including confirmation of GCP training. For further details and online application, please go to: http://www.lshtm.ac.uk/study/cpd/sct.html You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --=__Part8CBD24EF.1__Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: quoted-printable Content-Description: HTML

to [log in to unmask], leaving the subject line blank. --=__Part8CBD24EF.1__=-- --=__Part8CBD24EF.0__=-- ========================================================================Date: Tue, 15 Jan 2013 20:33:07 +0000 Reply-To: Peter Lynn <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Peter Lynn <[log in to unmask]> Organization: University of Essex Subject: VACANCY: Professorial Posts at ISER, Essex, UK MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="------------030407000306070509050701" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. --------------030407000306070509050701 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit PROFESSORS, Institute for Social and Economic Research, Essex, UK The Institute for Social and Economic Research (ISER) at the University of Essex wishes to appoint two Professors within its internationally recognised and multi-disciplinary research team. ISER (www.iser.essex.ac.uk) is home to the ESRC Research Centre on Micro-social Change (MiSoC) and the ESRC UK Longitudinal Studies Centre (ULSC) which conducts the new UK household longitudinal study, Understanding Society. At least one of the Professorial posts will focus on health-related research which might include, for example, life course epidemiology, health economics, or medical sociology. Other key areas are (i) income, consumption, and material well-being, and (ii) statistical methods. While we seek applications in these three key areas, applications which are relevant to other areas of ISER's research portfolio are also welcome. We seek talented and highly motivated individuals with experience of leading research programmes and a distinguished publication record. The successful candidates will have a higher degree in a relevant social science discipline and an established professional reputation in their field. They will provide research leadership, stimulate innovative research, attract large scale research funding, and develop ISER's research portfolio in the future. Please use the link below for a full job description, person specification and further information relating to this post. Please read this information carefully before applying for this post as it contains details of documents that must be attached to your application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone (01206 874588/873521). Salary will be commensurate with experience. Closing date for application is 20 January 2013. Further information about this post at http://icheevoo.notlong.com ************************************* Peter Lynn Professor of Survey Methodology *e*: [log in to unmask] *twitter*: @ProfPeterLynn *web*: www.iser.essex.ac.uk/people/plynn *tel*: +44 (0)1206 874809 *fax*: +44 (0)1206 873151 *mail*: Institute for Social and Economic Research (ISER), University of Essex, Colchester, UK CO4 3SQ This email and any attachments to it may be confidential and are intended solely for the use of the individual to whom it is addressed. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the Institute for Social and Economic Research. If you are not the intended recipient of this email, please permanently delete it. You must neither take any action based upon its contents, nor copy or show it to anyone. Please contact the sender if you believe you have received this email in error. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --------------030407000306070509050701 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit PROFESSORS, Institute for Social and Economic Research, Essex, UK

The Institute for Social and Economic Research (ISER) at the University of Essex wishes to appoint two Professors within its internationally recognised and multi-disciplinary research team. ISER (www.iser.essex.ac.uk) is home to the ESRC Research Centre on Micro-social Change (MiSoC) and the ESRC UK Longitudinal Studies Centre (ULSC) which conducts the new UK household longitudinal study, Understanding Society.

At least one of the Professorial posts will focus on health-related research which might include, for example, life course epidemiology, health economics, or medical sociology. Other key areas are (i) income, consumption, and material well-being, and (ii) statistical methods. While we seek applications in these three key areas, applications which are relevant to other areas of ISER’s research portfolio are also welcome.

We seek talented and highly motivated individuals with experience of leading research programmes and a distinguished publication record. The successful candidates will have a higher degree in a relevant social science discipline and an established professional reputation in their field. They will provide research leadership, stimulate innovative research, attract large scale research funding, and develop ISER’s research portfolio in the future.

Please use the link below for a full job description, person specification and further information relating to this post. Please read this information carefully before applying for this post as it contains details of documents that must be attached to your application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone (01206 874588/873521).

Salary will be commensurate with experience. Closing date for application is 20 January 2013.

Further information about this post at http://icheevoo.notlong.com

to [log in to unmask], leaving the subject line blank. --------------030407000306070509050701-- ========================================================================Date: Wed, 16 Jan 2013 04:20:54 +0000 Reply-To: Stuart Macgregor <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Stuart Macgregor <[log in to unmask]> Subject: JOB: Postdoc position at QIMR, Brisbane, Australia Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Postdoctoral Researcher (Research Officer) - Statistical Genetics Laboratory. Queensland Institute of Medical Research (QIMR), Brisbane, Australia Title: Researcher in Statistical Genetics Description: Advances in technology which allow assaying of millions of markers simultaneously have revolutionized gene mapping in human genetics, making it one of the most exciting and fast moving fields in science. Genetic studies are done in the laboratory by using statistical and computational methods to link disease and trait phenotypes to high density genetic data. You will develop and apply methods for conducting and interpreting genetic association studies (gene-based analysis, pathway analysis, genetic risk profiling). The primary focus of your work will be applications of new and existing statistical methods to a wide range of phenotypes. Two specific projects fall within the remit of the position - Understanding genetic predisposition to eye disease. Several studies are ongoing, focusing both on disease cohorts and on large samples of healthy individuals with quantitative measures relevant to eye disease. - Understanding the genetic basis of cancer through detailed interrogation of large scale cancer data sets. This work will be initially focusing on esophageal adenocarcinoma although with possible expansions to other areas of interest within the lab, particularly melanoma and ovarian cancer. Environment: You will be based in the Statistical Genetics lab at QIMR. The Lab comprises staff and students working on statistical methods development and on applications to data. Specific projects ongoing in the Lab are listed here http://www.qimr.edu.au/page/Lab/Statistical_Genetics/Statistical_Genetics_research/ You will work closely with both members of the Lab and with co-located staff within the Genetics and Computational Biology Department at QIMR (http://www.qimr.edu.au/page/Our_Research/Research_Departments/Genetics/ ). The Department has a critical mass of internationally renowned researchers interested in dissecting the genetic basis of human disease (12 laboratories with overlapping expertise). QIMR, one of the largest medical research institutes in the southern hemisphere, is undergoing a period of expansion, with the current staff roll of ~600 set to increase substantially in the coming years. For informal enquiries, please contact Dr Stuart Macgregor ([log in to unmask]) http://www.qimr.edu.au/page/Lab/Statistical_Genetics/ Research Areas: Statistical Genetics, Genetic Epidemiology, Cancer Genetics. Suitable background: The post is ideally suited to someone with a PhD in genetic epidemiology, statistics or bioinformatics. Experience in the analysis/manipulation of large datasets and a good knowledge of computing is desirable. Preference will be given to applicants with a very good publication record relative to opportunity. Experience in cancer or ophthalmic genetics advantageous but not essential. Non-statistical applicants must be able to demonstrate some knowledge of statistics. For statistical applicants, some knowledge of genetics is required. Grade: QIMR Research Officer, salary AUD68,587-73,624, depending on experience. Attractive salary packing benefits also apply (top $16,000 paid tax free). Appointment is full-time, fixed term for an initial period of up to 2 years (renewal subject to funding and performance) To apply see http://recruitment.qimr.edu.au/viewjob.aspx?jobid=294 In your application please i) Describe your research interests ii) Indicate your level of competence in statistics, in computing/programming and in biology/genetics iii) Include details of 3 academic referees Closing date: 7th February 2013. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 09:38:28 +0100 Reply-To: setia Pramana <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: setia Pramana <[log in to unmask]> Subject: Free workshop on Development of R software for data analysis, Hasselt, Belgium MIME-Version: 1.0 Content-Type: multipart/alternative; boundaryè9a8fb2024a7538d404d363cdb6 Message-ID: <[log in to unmask]> --e89a8fb2024a7538d404d363cdb6 Content-Type: text/plain; charset=windows-1252 Content-Transfer-Encoding: quoted-printable We would like to invite you for the workshop “Development of R software for data analysis”. The workshop is co organized by OpenAnalytics and CenStat and will take place in Hasselt University on *13/03/2013* from *09:00 to 17:30*. The workshop will be focused on the use of R software and R Applications in a dynamic and changing working environment (see the program below). The workshop is free of charge but* **registration * is mandatory and can be done online using the following link: http://www.uhasselt.be/Workshop-R We are looking forward to see you in the workshop, Martin Otava, Pushpike Thilakrathne and Tobias Verbeke. *Program of the workshop* 08:30-09:00: Coffee + Welcome 09:00-10:30: Tobias Verbeke (Open Analytics): Proper working environment and best practices when developing R code + R packaging 10:30-11:00: Coffee break. 11:00-12:30: Tobias Verbeke: Proper working environment and best practices when developing R code + R packaging 12:30-13:30: Lunch 13:30-14:00: Ziv Shkedy (Hasselt University): Lost in translation or maybe not ? translation of data analysis framework into a set of a R packages 14:00-15:00: Setia Pramana(Karolinska Institutet): Development of GUIs and packaging. 15:00-15:30: Pushpike Thilakrathne (Hasselt University): Development of an R package for Biomarkers validation with survival outcome 15:30-16:00: Coffee break. 16:00-16:45: Tobias Verbeke: The R Service Bus (RSB): Integrating R in Work flows and Processes 16:45-17:30: Tobias Verbeke: The R Service Bus (RSB) + summary of the workshop. 17:30: Reception. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --e89a8fb2024a7538d404d363cdb6 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: quoted-printable

We would like to invite you for the workshop “Development of R software for data analysis”.

The workshop is co organized by OpenAnalytics and CenStat and will take place in Hasselt University on 13/03/2013 from 09:00 to 17:30.

The workshop will be focused on the use of R software and R Applications in a dynamic and changing working environment (see the program below).

The workshop is free of charge but registration is mandatory and can be done online using the following link:

We are looking forward to see you in the workshop, Martin Otava, Pushpike Thilakrathne and Tobias Verbeke.

Proper working environment and best practices when developing R code + R packaging

Lost in translation or maybe not ? translation of data analysis framework into a set of a R packages

to [log in to unmask], leaving the subject line blank. --e89a8fb2024a7538d404d363cdb6-- ========================================================================Date: Wed, 16 Jan 2013 08:39:33 +0000 Reply-To: Laura Bonnett <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Laura Bonnett <[log in to unmask]> Subject: Survival Analysis for Junior Researchers: Discounted accommodation deadline approaching Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> If youâ€™re thinking of attending the Survival Analysis for Junior Researchers conference in Liverpool, March 25th & 26th, register now to be eligible for discounted accommodation at base2stay Liverpool (www.base2stay.co.uk/liverpool). Offer ends on 31st January (although rooms will still be available after this time). To register for the conference go to: www.liv.ac.uk/survival Conference registration deadline is 8th March so act now to avoid missing out on a conference aimed at career young researchers, PhD and postgraduate students involved in the analysis or application of survival time data. The registration fee is only Â£175 and includes two keynote speakers (Prof. Dave Collett and Dr Paul Lambert), delegate oral presentations, daytime lunch and light refreshments and an evening of dinner and entertainment at The Beatles Story, Liverpool. If you missed the abstract submission deadline fear not! Email you abstract (250 words) to [log in to unmask] before 24th January and we may be able to accommodate you in our programme. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 08:37:25 +0000 Reply-To: Natalie Fforde <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Natalie Fforde <[log in to unmask]> Subject: Advice from Statisticians in Adam 2.1 Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Hi Allstat Could any statisticians with Adam 2.1 implementation please email me as I would like to understand the application in more detail....? My email is: [log in to unmask] Many thanks Natalie You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 09:07:49 +0000 Reply-To: Kim Pearce <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Kim Pearce <[log in to unmask]> Subject: Your Views - Ordinal Logistic Regression : Odds Ratio Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Dear all, I would appreciate your views on the following: For Binary Logistic Regression with binary (0/1) explanatory variables : Log (odds of event) = B0+B1*X_1 + B2*X_2 etc.... For a particular variable (say X_1) the odds ratio e^B1 tells me that someone with characteristic X1 is e^B1 more likely to have the 'event' than someone without characteristic X1 (with other variables remaining the same). Say if we had 3 response categories: good reading skills, medium reading skills, poor reading skills and 4 binary (0/1) explanatory variables. We derive the constant, alpha1, which is associated with 'good' category and constant,alpha2, associated with 'good' or 'medium' category . I use the ordinal regression procedure in SAS so that increasing 'score': B1*X_1 + B2*X_2 +B2 X_3 + B3 X_4 means tendency towards better reading skill. Now would we say that the odds ratio e^B1 means *both* that (i) Someone with X_1=1 has e^B1 times the odds of having good reading skill (rather than poor or medium) compared to someone with X_1=0. AND (ii) Someone with X_1=1 has e^B1 times the odds of having good or medium reading skill (rather than poor) compared to someone with X_1=0. Many thanks for your views on this, All the Best, Kim Dr Kim Pearce PhD, CStat Senior Statistician Haematological Sciences Institute of Cellular Medicine William Leech Building Medical School Newcastle University Framlington Place Newcastle upon Tyne NE2 4HH Tel: (0044) (0)191 282 0641 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 10:49:50 +0000 Reply-To: Katarina Fors <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Katarina Fors <[log in to unmask]> Subject: COVANCE DATABASE ASSOCIATE II (LEEDS) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> DATABASE ASSOCIATE II COVANCE is a leading global drug development services company and we provide support to the Pharmaceutical and Biotechnology industries. About the Job This is a permanent role based in our office in central Leeds. As a Database Associate II you will provide technical services (Electronic Data Capture, Remote Data Capture, Oracle Clinical and Bedside Data Capture) on assigned projects to achieve project integrity and the delivery of on time, quality data. Other responsibilities and duties may include: â€¢ Perform all activities related to study build and design including preparing eCRF specification or annotated data capture instruments and screen development â€¢ May participate in sponsor screen design review meetings â€¢ Create the Edit check specification â€¢ Write validation / derivation procedures based on the Edit Check Specification, eCRF specification or data capture instrument and the protocol. â€¢ May conduct quality control of study build and design activities including eCRF specification or annotated data capture instruments, screen design, validation checks and edit check specification â€¢ Creation of test data / scripts to test both the screen design and validation checks. â€¢ Participate in client meetings, study initiation visits and study update meetings. â€¢ Regularly inform CDARO Project Manager and/or client of progress of projects, potential problems, and overall status of the study build and design. â€¢ Implement processes as they are refined or as new processes are developed and may also initiate and participate in the ongoing review of the processes to ensure they are continually improved. About You â€¢ Typically a BSc in a computing, mathematical, life science, pharmacy or related subject or equivalent. â€¢ Previous experience in clinical research, database maintenance and programming would be highly beneficial. â€¢ Knowledge of basic Simple Query Language (SQL) is preferred. â€¢ Knowledge of EDC/Oracle Clinical database and data management is preferred. â€¢ Develop problem solving skills and a willingness to learn and seek advice from senior programming staff and staff in related disciplines â€¢ Good time management and organization skills, the ability to prioritize own work to meet tight deadlines while maintaining the highest standards of work. â€¢ Effective communication skills; a co-operative and team orientated approach. We Offer Covanceâ€™s ongoing success offers team members unsurpassed growth and career development opportunities. At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career. If this sounds interesting, please email me and I will be happy to tell you more about the role. Kind Regards Katarina You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 10:50:44 +0000 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Sarah Miller <[log in to unmask]> Subject: CLINICAL TRIALS SHORT COURSE, London, June 2013 Comments: To: [log in to unmask] In-Reply-To: <[log in to unmask]> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="=__Part5C6DF714.0__=" Message-ID: <[log in to unmask]> --=__Part5C6DF714.0__Content-Type: multipart/alternative; boundary="=__Part5C6DF714.1__=" --=__Part5C6DF714.1__Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: quoted-printable CLINICAL TRIALS SHORT COURSE: 10-14 June 2013 London School of Hygiene & Tropical Medicine The course provides an introduction to the area of Randomised Clinical Trials (RCT), particularly phase III trials, with more detailed coverage of some of the key issues to be considered in their design, analysis and interpretation. The topics to be covered will include: - Design of a RCT: randomisation, trial size, 'alternative' designs and ethical issues - Trial management: data monitoring and stopping rules - Analysis and reporting: introduction to statistical issues for a RCT - Ensuring quality standards: certified training in Good Clinical Practice (GCP). - Practical development of a RCT protocol. (Participants will work in small groups to develop and present trial protocols.) The course is relevant to all those with an interest in the rigorous evaluation of interventions in health care, particularly clinicians and others working or intending to work in the health services or related areas such as the pharmaceutical industry. All students completing the course will obtain a Certificate of Attendance including confirmation of GCP training. For further details and online application, please go to: http://www.lshtm.ac.uk/study/cpd/sct.html You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --=__Part5C6DF714.1__Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: quoted-printable Content-Description: HTML

to [log in to unmask], leaving the subject line blank. --=__Part5C6DF714.1__=-- --=__Part5C6DF714.0__=-- ========================================================================Date: Wed, 16 Jan 2013 10:51:50 +0000 Reply-To: Katarina Fors <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Katarina Fors <[log in to unmask]> Subject: COVANCE-SAS PROGRAMMER II (Early Phase) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> SAS PROGRAMMER II (Early Phase) COVANCE is a leading global drug development services company and we provide support to the Pharmaceutical and Biotechnology industries. This is a full-time permanent position and will be based in our central Leeds office. The primary activity of the SAS Programmer is to develop and review SASÂ® programs and output for the management and reporting of clinical trial data. The individual in this role will have responsibilities including but not limited to the following: About the Job â€¢ Participate in the Statistical Programming reviews â€¢ Develop and review SAS programs and output as required â€¢ Carry out electronic data transfer (both incoming and outgoing). â€¢ Set-up utilities/SAS based systems to assist and facilitate Clinical Data Management activities. â€¢ Review draft and final production runs for projects to ensure quality and consistency About You â€¢ BSc in a computing, life science, mathematical or Statistical subject. â€¢ Typically 2-3 years experience working as a Statistical Programmer in the clinical research industry â€¢ An understanding of the fundamental principles of programming, program development and review â€¢ Experience in the preparation of Programming Plans, study set-up and review of study specific documents We Offer Covanceâ€™s ongoing success offers team members unsurpassed growth and career development opportunities. At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career. There is no better time to join us! Covance is committed to diversity in the workplace and is an equal opportunity employer. (M/F/D/V). Your confidentiality and privacy are important to us. If this role is interesting for you then please send me an email and I will be happy to tell you more. Kind Regards Katarina You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 10:53:38 +0000 Reply-To: Katarina Fors <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Katarina Fors <[log in to unmask]> Subject: SENIOR/PRINCIPAL STATISTICAL PROGRAMMER (Home or Office based) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> SENIOR/PRINCIPAL STATISTICAL PROGRAMMER (Home or Office based) Covance, with headquarters in Princeton, New Jersey, is one of the worldâ€™s largest and most comprehensive drug development services companies, with annual revenues greater than $2 billion, employees in more than 60 countries, and more than 11,000 employees worldwide. In this role you will be able to work from our office in Maidenhead or Leeds or be working from home. A large part of Covance employees are able to have the flexibility to work from home and this is well organised and accepted within the company. For us the most important is to find the right staff that will enjoy working in a global environment and can bring value to a successful company and having fun while doing it. You will have a great career progression and have the possibility to develop within the SAS programming department or move into one of the other departments that might interest you. About the Job The primary activities of the Senior Statistical Programmer are to develop and review SASÂ® programs and output for the management and reporting of clinical trial data. Act as a Lead Programmer for increasingly complex or multi-protocol projects (Phase 2-4) and to act as a Statistical Programming consultant to clients and internal customers. We are looking for someone that thrives in a challenging environment and that is able to lead projects and deliver according to timelines. Responsibilities including but not limited to the following: â€¢ Ensure quality of personal work and the work of the team when acting as a Lead Programmer. â€¢ Assume team member responsibilities, including representing Statistical Programming at internal project team meetings, client meetings and audits. â€¢ Provide input into assessments of resource requirements on a regular basis. Provide feedback to management if any action is needed to increase utilization, improve efficiency or amend the resource levels required on a project. â€¢ Advise Senior Statistical Programming staff of changes in scope of projects to enable the timely development of change orders. â€¢ Prioritize personal workload to meet specified completion dates and perform work with minimal supervision. â€¢ Demonstrate excellent problem solving skills, a proactive approach and a willingness to take decisions on a regular basis. â€¢ Maintain awareness of new developments in programming techniques and IT which may be applied to the management and reporting of clinical trial data. â€¢ Technical planning (which includes overseeing the set-up of the key macros/SAS programs) for multi-protocol projects (e.g., appropriate documentation required by the project). â€¢ Work on complex problems where analysis of situations or data requires an evaluation of intangible variables; development of technical solutions to abstract problems which require the use of ingenuity and creativity. â€¢ Prepare and review of Programming Plans. About You â€¢ BSc in a computing, life science, mathematical or Statistical subject or equivalent â€¢Extensive experience and proven skills in the use of SAS within a clinical trials environment, typically 4-5 years â€¢ Extensive experience in the development and review of SAS programs for management and reporting of clinical trial data as well as experience in the development and review of programs to perform electronic data transfer. â€¢ Excellent problem solving skills, a proactive approach and a willingness to take decisions, seeking advice from senior Statistical Programming staff to confirm decisions when necessary. â€¢ Excellent organizational skills and the ability to delegate and prioritize work. We Offer Covanceâ€™s ongoing success offers team members unsurpassed growth and career development opportunities. At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career. There is no better time to join us! Covance is committed to diversity in the workplace and is an equal opportunity employer. (M/F/D/V). Your confidentiality and privacy are important to us If this role interest you then please feel free to send me an email and Im happy to explain more. Kind Regards Katarina You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 11:34:45 +0000 Reply-To: Claire Collinson <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Claire Collinson <[log in to unmask]> Subject: Statistician Vacancy - Permanent Content-Type: multipart/alternative; boundary="_000_6CDD0148A8046A408FBADB1F026F00B6010D92856B96SBS2K8Kinet_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6CDD0148A8046A408FBADB1F026F00B6010D92856B96SBS2K8Kinet_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Statistician North Wales £26K - 36K pa We have an exciting opportunity for a Statistician to advance their career by joining a leading healthcare organisation based in North Wales. Applying statistical methods you will collect, organise, analyse and interpret data. Other duties and responsibilities include: · Input on the use and application of statistical techniques. · Education and training of departmental staff. · Technical operation support through statistical process development. · Statistical model design, development and implementation. · Presentation development and delivery. · Act as biostatistics subject matter expert. Candidates will be educated to degree or post graduate level in statistics or biostatistics and have worked within a comparable environment. Candidate must have experience with SAS, SPSS, Minitab and also an understanding of GMP. Please apply by sending your CV to [log in to unmask] Claire Collinson BSc (Hons) Cert RP MREC Core Science Business Manager Kinetica - Core Science Floor 13, Whitehall Waterfront 2 Riverside Way Leeds LS1 4EH UK: 01132 61 71 81 International: +44 1132 617181 Fax: 01132 61 71 80 Please look at our new website: www.kinetica.co.uk kinetica is the trading name of Kinetica (UK) Ltd. Registered office: Whitehall Waterfront, 2 Riverside Way, Leeds LS1 4EH. Registered in England, Company Number 4694831 Connect with me on Linked In - http://www.linkedin.com/in/clairecollinson You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_6CDD0148A8046A408FBADB1F026F00B6010D92856B96SBS2K8Kinet_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Statistician

North Wales

£26K – 36K pa

We have an exciting opportunity for a Statistician to advance their career by joining a leading healthcare organisation based in North Wales. Applying statistical methods you will collect, organise, analyse and interpret data. Other duties and responsibilities include:

· Input on the use and application of statistical techniques.

· Education and training of departmental staff.

· Technical operation support through statistical process development.

· Statistical model design, development and implementation.

· Presentation development and delivery.

· Act as biostatistics subject matter expert.

Candidates will be educated to degree or post graduate level in statistics or biostatistics and have worked within a comparable environment. Candidate must have experience with SAS, SPSS, Minitab and also an understanding of GMP.

Please apply by sending your CV to [log in to unmask]

Claire Collinson BSc (Hons) Cert RP MREC

Core Science Business Manager

Kinetica - Core Science

Floor 13, Whitehall Waterfront

2 Riverside Way

Leeds LS1 4EH

UK: 01132 61 71 81

International: +44 1132 617181

Fax: 01132 61 71 80

Please look at our new website: www.kinetica.co.uk

kinetica is the trading name of Kinetica (UK) Ltd. Registered office: Whitehall Waterfront, 2 Riverside Way, Leeds LS1 4EH. Registered in England, Company Number 4694831

Connect with me on Linked In - http://www.linkedin.com/in/clairecollinson

to [log in to unmask], leaving the subject line blank. --_000_6CDD0148A8046A408FBADB1F026F00B6010D92856B96SBS2K8Kinet_-- ========================================================================Date: Wed, 16 Jan 2013 12:56:30 +0000 Reply-To: Steven Ward <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Steven Ward <[log in to unmask]> Subject: NICE - 2x Health Economics jobs In-Reply-To: <[log in to unmask]> Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> ********************************************************************************************************************************************************************************************************************* http://www.jobs.nhs.uk/showvac/DQhIOf/903113/913025148 The National Institute for Health and Clinical Excellence (NICE) produces guidance, quality standards and other advice products to support health, public health and social care professionals to make sure that the care they provide is of the best possible quality and offers the best value for money. Our guidance and other products are evidence-based, independent and authoritative. They can be used by the NHS, local authorities, charities, and anyone with a responsibility for commissioning or providing healthcare, public health or social care services. We also support these groups in putting our guidance into practice. Internal Clinical Guidelines Programme (ICG) - Centre for Clinical Practice • Health Economic Modeller – Band 8A (£38,851 - £26,621) - Manchester based (although London will be considered for this role) • Health Economist – Band 7 (£30,460 - £40,157) – Manchester based NICE’s Internal Clinical Guidelines (ICG) programme within the Centre for Clinical Practice (CCP) develops clinical guidelines for the NHS. These are recommendations, based on the best available evidence of clinical and cost effectiveness, on the appropriate treatment and care of people with specific diseases and conditions. We are recruiting to two posts; a Health Economist and a Health Economic Modeller. Working collaboratively within a small multidisciplinary team, the post holder(s) will be responsible for advising on health economic issues during development of the guidelines, identify the types of evidence to address the questions, appraising the evidence and preparing structured summaries of the evidence. The post holder(s) will also undertake the development of original, applied health-economic analyses that will be used to inform the deliberations of Guideline Development Groups (GDGs), comprising decision-makers who are predominantly clinical and patient experts with limited formal expertise in health economics. The Health Economist will have skills in health technology appraisal/clinical guideline development with an understanding of the principles of health economic modelling and, ideally, experience in developing such models; you will be an enthusiastic analyst with a relevant postgraduate qualification (e.g. public health, operational research, statistics, health service research or health economics) or equivalent experience. Critical appraisal, interpretation and synthesis of health care research evidence; along with familiarity with evidence-based healthcare, methods of clinical guideline development or health technology assessment are essential. The primary requirement for the position of Health Economic Modeller is demonstrable ability in the practical application of mathematical modelling to inform real-world decision problems. Candidates should have skills and experience in decision-analytic modelling, ideally gained in the context of health-economic evaluation, and a commitment to maximising value in the NHS. At present, the team has a preference for models developed in MS Excel, TreeAge and/or WinBUGS; however, applications from candidates with experience in other platforms are welcome. Excellent skills in the analysis and synthesis of quantitative data are essential, as is the ability to communicate the methods and results of complex analyses to a range of audiences, both orally and in writing. The post holder(s) will have the opportunity to extend their own skills in modelling and health economics and contribute to methodological development in the field. If you would like to discuss the posts, please call 0161 8703101 for an informal discussion with Nicole Elliott (Associate Director). Please indicate on your application form if you have a preference to location or band (7 or 8a) so this can be taken into account. Closing date for applications: 25th January 2013 at noon. No late applications will be accepted. Interview Date: 25th February 2013 No agencies please. __________________________ Delivered via MessageLabs __________________________ The information contained in this message and any attachments is intended for the addressee(s) only. If you are not the addressee, you may not disclose, reproduce or distribute this message. If you have received this message in error, please advise the sender and delete it from your system. Any personal data sent in reply to this message will be used in accordance with provisions of the Data Protection Act 1998 and only for the purposes of the Institute's work. All messages sent by NICE are checked for viruses, but we recommend that you carry out your own checks on any attachment to this message. We cannot accept liability for any loss or damage caused by software viruses. http://www.nice.org.uk You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 13:03:06 +0000 Reply-To: "Kirby, Simon" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Kirby, Simon" <[log in to unmask]> Subject: PSI Surrogate markers course Content-Type: multipart/alternative; boundary="_000_A28BE91D08D019478C38A6B5326A11B6130034NDHAMREXDC05amerp_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_A28BE91D08D019478C38A6B5326A11B6130034NDHAMREXDC05amerp_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable The Statistical Evaluation of Surrogate Endpoints in Clinical Trials presented by Prof. Geert Molenberghs, 20 - 21 February 2013. Near London, UK. The identification and use of surrogate endpoints, i.e. measures that can replace or supplement other endpoints in evaluations of experimental treatments or interventions, is a general strategy that has stimulated much enthusiasm. Surrogate endpoints are useful when they can be measured earlier, more conveniently, or more frequently than the "true" endpoints of primary interest. Regulatory agencies around the globe are introducing provisions and policies relating to the use of surrogate endpoints in registration studies. But how can one establish the adequacy of a surrogate, in the sense that treatment effectiveness on the surrogate will accurately predict treatment effect on the intended, and more important, true outcome? What kind of evidence is needed, and what statistical methods portray that evidence most appropriately? For more information and to register: https://services.psiweb.org/site/events/events_summary.asp You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_A28BE91D08D019478C38A6B5326A11B6130034NDHAMREXDC05amerp_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. --_000_A28BE91D08D019478C38A6B5326A11B6130034NDHAMREXDC05amerp_-- ========================================================================Date: Wed, 16 Jan 2013 15:04:50 +0000 Reply-To: James Ross <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: James Ross <[log in to unmask]> Subject: Epidemiology Research Assistant - Middlesex, UK MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF802VERHSRVEXC0_" Message-ID: <[log in to unmask]> --_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF802VERHSRVEXC0_ Content-Type: text/plain; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable Dear Allstat, I am currently recruiting on behalf of a world leading pharmaceutical company in seeking an Epidemiology Research Assistant for an initial 12 month contract based in Middlesex. The successful candidate will possess an MSc or PhD within Epidemiology or a closely related field. Key Responsibilities: - Execute and/or manage discrete projects related to disease understanding relevant to drug development and clinical trials- Conduct Literature reviews - Draft sections of Epi Packages or other similar descriptive epidemiology documents for internal or external audiences - Manage studies using databases available within the Epi Dept 2. Summarize information from completed studies for inclusion in regulatory documents, internal study reports, or Powerpoint slides for presentations 3. Provide project management and communication support for large, complex epidemiology collaborative studies - Schedule meetings, track timelines, monitor budgets, draft meeting minutes / decision logs - Post and maintain repository of relevant references for team - Maintain research agreements with External Experts for SHARP Requirements: - MSc, MPH or MSPH in Epidemiology required; PhD/Doctorate or MD with MSc (MPH) in epidemiology preferred. - Prior experience conducting and/or supporting epidemiologic research. - Ability to resolve problems through resourceful use of information and contacts. - Ability to work well within a business-driven environment, balance priorities and handle multiple tasks through good planning, project administration, and organisation skills. - Excellent communication skills to interact effectively with multiple epidemiologists, database analysts, and teams. If you would like to learn more please get in touch at [log in to unmask] or 01737 236808 Kind regards, James James Ross Delivery Consultant Six Sigma Yellow Belt Volt Life Sciences Betchworth House, 57-65 Station Rd, Redhill, Surrey RH1 1DL, United Kingdom Dir: +44 1737 236808 | Tel: +44 1737 774100 | Mob: +44 7796 335822 [log in to unmask] | www.volt.eu.com ---------------------------------------------------------------------------------------------------------------------------------------- This email message has been delivered safely and archived online by Mimecast. Please see http://www.volt.eu.com/EmailPolicy.html for details of our email policy. ----------------------------------------------------------------------------------------------------------------------------------------- You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF802VERHSRVEXC0_ Content-Type: text/html; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable

Dear Allstat,

I am currently recruiting on behalf of a world leading pharmaceutical company in seeking an Epidemiology Research Assistant for an initial 12 month contract based in Middlesex.

The successful candidate will possess an MSc or PhD within Epidemiology or a closely related field.

Key Responsibilities:

- Execute and/or manage discrete projects related to disease understanding relevant to drug development and clinical trials- Conduct Literature reviews
- Draft sections of Epi Packages or other similar descriptive epidemiology documents for internal or external audiences
- Manage studies using databases available within the Epi Dept

2. Summarize information from completed studies for inclusion in regulatory documents, internal study reports, or Powerpoint slides for presentations

3. Provide project management and communication support for large, complex epidemiology collaborative studies
- Schedule meetings, track timelines, monitor budgets, draft meeting minutes / decision logs
- Post and maintain repository of relevant references for team
- Maintain research agreements with External Experts for SHARP

Requirements:

- MSc, MPH or MSPH in Epidemiology required; PhD/Doctorate or MD with MSc (MPH) in epidemiology preferred.
- Prior experience conducting and/or supporting epidemiologic research.
- Ability to resolve problems through resourceful use of information and contacts.
- Ability to work well within a business-driven environment, balance priorities and handle multiple tasks through good planning, project administration, and organisation skills.
- Excellent communication skills to interact effectively with multiple epidemiologists, database analysts, and teams.

If you would like to learn more please get in touch at [log in to unmask] or 01737 236808

Kind regards,

James

James Ross
Delivery Consultant
Six Sigma Yellow Belt

Volt Life Sciences

Betchworth House, 57-65 Station Rd, Redhill, Surrey RH1 1DL, United Kingdom

Dir: +44 1737 236808 | Tel: +44 1737 774100 | Mob: +44 7796 335822

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to [log in to unmask], leaving the subject line blank. --_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF802VERHSRVEXC0_-- ========================================================================Date: Wed, 16 Jan 2013 07:56:43 -0800 Reply-To: khizar azam <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: khizar azam <[log in to unmask]> Subject: survey and factor analysis MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="-1007318780-1557295577-1358351803=:43326" Message-ID: <[log in to unmask]> ---1007318780-1557295577-1358351803=:43326 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Dear All Greetings,I have a question while analysing a long questionnaire data i am not getting meaningfull results for factor analysis. What are my options? Is it the only way to develop a parsimonous model?What if i take all the variables as my independant variables and have a dicotomous dependant variable and develop a model.cheerskhizar You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ---1007318780-1557295577-1358351803=:43326 Content-Type: text/html; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable

Dear All Greetings,

I have a question while analysing a long questionnaire data i am not getting meaningfull results for factor analysis. What are my options? Is it the only way to develop a parsimonous model?

What if i take all the variables as my independant variables and have a dicotomous dependant variable and develop a model.

cheers

khizar

You may leave the list at any time by sending the command

to [log in to unmask], leaving the subject line blank. ---1007318780-1557295577-1358351803=:43326-- ========================================================================Date: Wed, 16 Jan 2013 16:28:31 +0000 Reply-To: James Brough <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: James Brough <[log in to unmask]> Subject: SAS Programmer =?UTF-8?Q?â€“_?=Italy (Freelance Contract - 6 Months) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Pharmanet i3 Strategic Resourcing are currently recruiting for experienced SAS Programmers with clinical trial experience to work on clinical development activities related to on-going Pharmanet i3 clientâ€™s studies in Italy. As a 6 month contract, the position is ideally suited to a freelance SAS Programmer who is home based, and there is good flexibility for candidates with proven SAS Programming experience within clinical trials. In this position you will be required to program according to specifications, analysis datasets, listings, and figures for clinical trials and submission activities. For this position you should have a minimum of degree level education and be able to demonstrate proven experience of SAS programming working extensively on clinical trials in a commercial setting (Pharma/CRO), with the ideal level or SAS programming experience being at around 5 years plus. You should have full working experience with SAS BASE, SAS MACRO, SAS GRAPH & SAS STAT and a thorough knowledge and understanding of CDISC. Candidates must have excellent level of English and Italian languages, as well as strong communication skills. Candidates must also possess full eligibility to work within the Italy and be currently based in Italy. If you have the required experience please send your CV to [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 17:45:26 +0000 Reply-To: Maria Iacovou <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Maria Iacovou <[log in to unmask]> Subject: PhD SCHOLARSHIPS: Survey Methods, Economics, Health Research, Applied Social and Economic Research Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> PhD scholarships at the Institute of Social and Economic Research (ISER), University of Essex ISER is an interdisciplinary research centre with a thriving PhD program. We are currently accepting applications from students wishing to study for a PhD (+3), or a Masters plus PhD (1+3), in any quantitative social science discipline. Prospective students are also invited to apply for one of our fully-funded studentships, available as part of Essex University's ESRC-funded Doctoral Training Centre http://www.essex.ac.uk/dtc/ These studentships are open to all suitably qualified applicants, regardless of nationality. The deadline for applications is 15th February, 2013. ISER offers the following research pathways: - Economics - Applied Social and Economic Research - Survey Methodology - Health Research Information about our PhD programs may be found on our website http://www.iser.essex.ac.uk/study Prospective applicants should also contact our Director of Graduate Studies, Dr Maria Iacovou ([log in to unmask]) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 16 Jan 2013 18:07:15 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Senior Statistical Programmer | CDISC expertise | Germany | =?utf-8?Q?â‚¬65_-_â‚¬75_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD362msx1s2berdlpl_" MIME-Version: 1.0 Message-ID: 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YXJhbnRlZWQgYW5kIG1lc3NhZ2VzIHNlbnQgdmlhIHRoaXMgbWVkaXVtIGFyZSBwb3RlbnRpYWxs eSBhdCByaXNrLiBBbGwgbGlhYmlsaXR5IGlzIGV4Y2x1ZGVkIHRvIHRoZSBleHRlbnQgcGVybWl0 dGVkIGJ5IGxhdyBmb3IgYW55IGNsYWltcyBhcmlzaW5nIGFzIGEgcmVzdWx0IG9mIHRoZSB1c2Ug b2YgdGhpcyBtZWRpdW0gdG8gdHJhbnNtaXQgaW5mb3JtYXRpb24NCmJ5IG9yIHRvIFNFQyBSZWNy dWl0bWVudCBMaW1pdGVkLjxicj4NCg0KPC9mb250PjwvZGl2Pg0KPC9mb250Pg0KPC9ib2R5Pg0K PC9odG1sPg0KWW91IG1heSBsZWF2ZSB0aGUgbGlzdCBhdCBhbnkgdGltZSBieSBzZW5kaW5nIHRo ZSBjb21tYW5kDQo8cD4NClNJR05PRkYgYWxsc3RhdA0KPC9wPjxwPg0KdG8gPGEgaHJlZj0ibWFp bHRvOmxpc3RzZXJ2QGppc2NtYWlsLmFjLnVrIj5saXN0c2VydkBqaXNjbWFpbC5hYy51azwvYT4s IGxlYXZpbmcgdGhlIHN1YmplY3QgbGluZSBibGFuay4NCg=--_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD362msx1s2berdlpl_-- ========================================================================Date: Wed, 16 Jan 2013 22:37:32 +0000 Reply-To: Tao Chen <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Tao Chen <[log in to unmask]> Subject: EngD opening at Univ of Surrey: model-based optimisation, control and monitoring of water processing plants MIME-Version: 1.0 Content-Type: multipart/alternative; boundarydae9399bd930481404d36f8678 Message-ID: <[log in to unmask]> --14dae9399bd930481404d36f8678 Content-Type: text/plain; charset=windows-1252 Content-Transfer-Encoding: quoted-printable An Engineering Doctorate (EngD) project has been made available at the University of Surrey, UK, in the field of process control and process chemometrics, entitled "Minimising Energy Consumption in the Water Industry: A Robust Model-Based Optimal Control Approach". The candidate should have a good degree ideally in chemical process or industrial engineering, or other disciplines with substantial exposure to quantitative methods (such as electronic or mechanical engineering). Prior experience in computer programming is a plus. Prior experience in data-based modelling, chemometrics, optimisation or automatic control is a district advantage. Work experience in the environmental and water industries is looked upon favourably. The nature of EngD requires a combination of technical and transferable skills. The candidates must be capable of working across a range of academic and professional disciplines, and in a complex organisational structure. Critical and innovative thinking is vital. The successful candidate will be primarily based in the company premises at Warrington, Cheshire, UK with regular visits to the University for training and meeting purposes. The EngD lasts for four years combining PhD-level research projects with taught courses, and students spend about 75% of their time working directly with a company. Tuition fee will be covered, plus c. £19,700 annual stipend tax free, and dedicated training budget for workshops and conferences. Candidates must have a “settled status” in the UK (no restrictions on how long you can stay), been “ordinary resident” in the UK for the past 3 years (see http://www.epsrc.ac.uk/funding/students/Pages/eligibility.aspx ). Interested candidates please send your CV with cover letter to Dr Tao Chen ([log in to unmask]) to initiate informal discussions. Formal application procedures will follow soon on the University of Surrey website. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --14dae9399bd930481404d36f8678 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. --14dae9399bd930481404d36f8678-- ========================================================================Date: Wed, 16 Jan 2013 23:32:56 +0000 Reply-To: astaines <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: astaines <[log in to unmask]> Subject: Child health meeting in Dublin May 30th and 31st - submissions open till Feb 28th. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: Quoted-Printable Message-ID: <[log in to unmask]> Dear colleagues, On behalf of the RICHE and CHICOS projects, Martine Vrijheid and I are hosting an international child health meeting which will be held in Dublin in May 2013 (Thursday May 30th and Friday May 31st). RICHE is preparing a roadmap for child health research for Europe, and CHICOS is preparing a strategy for cohort research. Both projects will launch their reports at the meeting. The TACTICS and EURO-PERISTAT projects are our partners. We are holding this meeting to celebrate European child health research, and to flag the importance of this work to the Commission, and other policy makers. Other European child health projects (EU-funded or otherwise) are invited to present, and there will be a special session for researchers from the island of Ireland. The call for submissions is open until February 28th. We have a number of exciting speakers, incuding Patricia Reilly from Maire Geoghegan-Quinns' office, Lennart KÃ¶hler from the Nordic school of Public Health, and Helmut Brand from Maastricht and Bad-Gastein. Registration fees will be less than â‚¬250. We would be very grateful if you could disseminate news of our conference through your networks. The conference website is at http://child2025.eu/. Please come! Anthony Staines and Martine Vrijheid -- Anthony Staines, Professor of Health Systems, School of Nursing and Human Sciences, DCU, Dublin 9,Ireland. Tel:- +353 1 700 7807. Mobile:- +353 86 606 9713 http://astaines.eu/ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 08:59:29 +0000 Reply-To: Derrick Bennett <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Derrick Bennett <[log in to unmask]> Subject: COURSE: IEA International Course on Epidemiological Methods Content-Type: multipart/alternative; boundary="_000_9C2287F09C322C42B10786C01B97C4EE52F44B9AEXCH1ctsuoxacuk_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_9C2287F09C322C42B10786C01B97C4EE52F44B9AEXCH1ctsuoxacuk_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable X-WatchGuard-AntiVirus: part scanned. clean action=allow IEA 5th International Course on Epidemiological Methods Hangzhou, China | April 15-26, 2013 Hosted by Beijing University This is an intermediate to advanced level residential course. Participants will be required to have a Master's or Doctoral degree in public health, epidemiology or a related field, or a similar level of research experience in these areas. It will include lectures, exercises, discussion sessions, and practical experience in the design of a research proposal. The course will be of interest to epidemiologists, public health professionals, statisticians, and clinicians. Priority will be given to IEA members. Participants must attend the entire course from 9 a.m. Monday, April 15 to 1p.m. Friday, April 26. Language The working language of the course will be English, and participants will be expected to have sufficient knowledge of spoken and written English to participate actively in discussions. For further information and to download the course brochure, please visit http://iea-course.org/. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_9C2287F09C322C42B10786C01B97C4EE52F44B9AEXCH1ctsuoxacuk_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable X-WatchGuard-AntiVirus: part scanned. clean action=allow

IEA 5^th International Course on Epidemiological Methods

Hangzhou, China | April 15-26, 2013

Hosted by Beijing University

This is an intermediate to advanced level residential course. Participants will be required to have a Master’s or Doctoral degree in public health, epidemiology or a related field, or a similar level of research experience in these areas.

It will include lectures, exercises, discussion sessions, and practical experience in the design of a research proposal. The course will be of interest to epidemiologists, public health professionals, statisticians, and clinicians.

Priority will be given to IEA members. Participants must attend the entire course from 9 a.m. Monday, April 15 to 1p.m. Friday, April 26.

Language

The working language of the course will be English, and participants will be expected to have sufficient knowledge of spoken and written English to participate actively in discussions.

For further information and to download the course brochure, please visit http://iea-course.org/.

to [log in to unmask], leaving the subject line blank. --_000_9C2287F09C322C42B10786C01B97C4EE52F44B9AEXCH1ctsuoxacuk_-- ========================================================================Date: Thu, 17 Jan 2013 09:24:41 +0000 Reply-To: Chris Wallace <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chris Wallace <[log in to unmask]> Subject: JOB: University of Cambridge, Research Associate/Senior Research Associate) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Statistician (Research Associate/Senior Research Associate) JDRF/WELLCOME TRUST DIABETES AND INFLAMMATION LABORATORY The JDRF/Wellcome Trust Diabetes and Inflammation Laboratory (DIL; https://www-gene.cimr.cam.ac.uk/ ) has been at the forefront of recent international success in discovering the genetic variants associated with type 1 diabetes and their function. We are now working to understand the mechanism through which genetic variation can influence disease risk both through studies of healthy individuals who carry genetic susceptibility variants and within the context of intervention trials with individuals with new onset diabetes. We require an experienced statistician with an established track record to join our statistics group (https://www-gene.cimr.cam.ac.uk/staff/dilstats/ ), which is a friendly group of Bayesians and frequentists who analyse a diverse range of low and high dimensional data, including flow cytometric, gene expression, genotype and sequencing data. Our challenge is to integrate analyses of these data to address the research aims of the DIL. The DIL is located in the Cambridge Biomedical Reasearch Campus and we are building strong collaborative links with the MRC Biostatistics Unit (http://www.mrc-bsu.cam.ac.uk/ ) under its recently appointed director, Professor Sylvia Richardson. The ideal candidate will have a PhD in statistics or a closely related discipline, several years postdoctoral experience, excellent statistical programming skills, and an ability to communicate and present results both to other statisticians and scientists. She or he will be expected to have some supervisory responsibility for the more junior post docs in our group. Knowledge of genetics or type 1 diabetes is less important than an interest in applying the innovative statistics we have found necessary when dealing with data generated by rapidly developing technologies, in order to answer questions of importance to biology and health. Senior Research Associate status may be available for suitable candidates subject to Faculty Board approval. Further information and an application form can be found at https://www-gene.cimr.cam.ac.uk/jobs/statistician-2013-02-15.shtml Informal enquiries may be addressed to Chris Wallace <[log in to unmask]> or John Todd <[log in to unmask]>. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 11:18:26 +0000 Reply-To: Sarah Barker <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Sarah Barker <[log in to unmask]> Subject: COURSES: Royal Statistical Society short course programme 2013 Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Registration is now open for the following courses: Latent Trait and Latent Class Analysis for Multigroup Data using MPlus and R, 11 & 12 February presented by Jouni Kuha, Irini Moustaki and Sally Stares (London School of Economics) Ideal for researchers interested in the use of cutting edge statistical methodology for analysing survey data from cross-sectional and for cross-national surveys. Cost: Â£540-Â£708 depending on membership category Introduction to Categorical Data Analysis, 20 & 21 August presented by Alan Agresti and Maria Kateri Introduces attendees to the most important methods for categorical data analysis, and in particular will show them that thereâ€™s a lot more that one can do than Pearsonâ€™s chi-squared test. Cost: Â£519-Â£840 depending on registration date and membership category Analytical Teams - building sustainable and productive relationships, 12 & 13 September presented by Duncan Miles and Denis Greer This participative programme is designed for those within the analytical professions who want to enhance the effectiveness of their relationships, consultations and interactions with colleagues and non-specialist client groups. Cost: Â£519-Â£840 depending on registration date and membership category Advanced Programming in R, 3 & 4 December presented by Colin Gillespie A 2 day intensive course on advanced aspects of R programming. Aimed at R users who do not have a formal background in computing. The course will be a mixture of lectures and computer practicals and will cover conditional programming structures, functional programming, S3 and S4 objects. Cost: Â£378-Â£708 depending on registration date and membership category For more information on these and other courses, please visit www.rss.org.uk/courses You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 03:13:41 -0800 Reply-To: Oliver Bodhlyera <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Oliver Bodhlyera <[log in to unmask]> Subject: R Package for Smooth Transition Regression In-Reply-To: <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="-299933220-963844959-1358421221=:47344" Message-ID: <[log in to unmask]> ---299933220-963844959-1358421221=:47344 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Hello everyone Is anyone aware of an R or SAS package that can fit Smooth Transition Regression models. Thank you in Advance Oliver Bodhlyera University of KwaZulu Natal You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ---299933220-963844959-1358421221=:47344 Content-Type: text/html; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. ---299933220-963844959-1358421221=:47344-- ========================================================================Date: Thu, 17 Jan 2013 12:04:53 +0000 Reply-To: James Ross <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: James Ross <[log in to unmask]> Subject: Research Associate - 2 year project - Leading Pharmaceutical Company - Middlesex or Hertfordshire MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF8C4VERHSRVEXC0_" Message-ID: <[log in to unmask]> --_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF8C4VERHSRVEXC0_ Content-Type: text/plain; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable Dear Allstat, We are currently recruiting on behalf of a leading, global pharmaceutical company for a Research Associate. The successful candidate will likely possess a PhD in the areas of Genetic Epidemiology, Bioinformatics or Genomics and have an understanding of how to deal with complex biological data. Candidates who have knowledge of metabolic diseases such as obesity and diabetes will be of particular interest. The position will be working on a pharmaceutical-academic project funded by the EU. The overall goal is to set up a European Medical Information Network to support medical research. If you would like to learn more please contact my colleague at [log in to unmask] Kind regards, James James Ross Delivery Consultant Six Sigma Yellow Belt Volt Life Sciences Betchworth House, 57-65 Station Rd, Redhill, Surrey RH1 1DL, United Kingdom Dir: +44 1737 236808 | Tel: +44 1737 774100 | Mob: +44 7796 335822 [log in to unmask] | www.volt.eu.com ---------------------------------------------------------------------------------------------------------------------------------------- This email message has been delivered safely and archived online by Mimecast. Please see http://www.volt.eu.com/EmailPolicy.html for details of our email policy. ----------------------------------------------------------------------------------------------------------------------------------------- You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF8C4VERHSRVEXC0_ Content-Type: text/html; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable

Dear Allstat,

We are currently recruiting on behalf of a leading, global pharmaceutical company for a Research Associate.

The successful candidate will likely possess a PhD in the areas of Genetic Epidemiology, Bioinformatics or Genomics and have an understanding of how to deal with complex biological data.

Candidates who have knowledge of metabolic diseases such as obesity and diabetes will be of particular interest.

The position will be working on a pharmaceutical-academic project funded by the EU. The overall goal is to set up a European Medical Information Network to support medical research.

If you would like to learn more please contact my colleague at [log in to unmask]

Kind regards,

James

James Ross
Delivery Consultant
Six Sigma Yellow Belt

Volt Life Sciences

Betchworth House, 57-65 Station Rd, Redhill, Surrey RH1 1DL, United Kingdom

Dir: +44 1737 236808 | Tel: +44 1737 774100 | Mob: +44 7796 335822

[log in to unmask]">[log in to unmask] | www.volt.eu.com

to [log in to unmask], leaving the subject line blank. --_000_9D8F5C717A97FB43A0C32496AB95CCD701363BABF8C4VERHSRVEXC0_-- ========================================================================Date: Thu, 17 Jan 2013 13:15:49 +0000 Reply-To: Sara Olson <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Sara Olson <[log in to unmask]> Subject: JOB: Post-Doc in Input-Output Analysis and Trade Networks Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Post-Doc in Input-Output Analysis and Trade Networks at IMT Lucca Deadline for applications - February 25th 2013, 12pm Italian time IMT Lucca invites applications from strong candidates for a Post-Doctoral Fellow position in Input-Output Analysis and Trade Networks. The position will be financed in the context of FIRB - Programma Futuro in Ricerca 2012, within the project ViWaN - Virtual Water Networks, and will address these issues with an innovative and interdisciplinary approach, which will lead to the understanding of the main drivers and implications of the international virtual water flows. The main objectives are two: a better understanding of the global dynamics in virtual water flows via the international food trade network and the evaluation of the impact of such flows on food security. Other than a PhD in Economics or related field to be earned by the date of appointment, candidates should have a high degree of proficiency in the use of mathematical and statistical methods. See http://www.imtlucca.it/faculty/positions/junior_faculty_recruitment_program.php#io-analysis-trade_pd for further details. The appointed candidate will join the LIME - Laboratory of Innovation Management and Economics (http://lime.imtlucca.it/) Research Unit. The position is for three years. Remuneration packages are competitive at the international level and include generous research funds; additional benefits may be negotiated with selected applicants. Successful candidates will work closely with other young researchers, senior researchers and graduate students, and will have a limited teaching load in the School's graduate program (e.g. one or two classes per year). IMT believes that faculty and staff diversity contributes to excellence and is an equal-opportunity employer. Additional information about IMT may be found at www.imtlucca.it. The deadline to submit your online application is February 25th 2013, 12 PM Italian time. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 13:20:30 +0000 Reply-To: Guy Nason <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Guy Nason <[log in to unmask]> Subject: JOB: Brunel Fellowship in Statistics Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Mime-Version: 1.0 (Mac OS X Mail 6.2 $1499$) Message-ID: <[log in to unmask]> Statistics Group, School of Mathematics, University of Bristol Brunel Postdoctoral Fellowship in Statistics Applications are invited for a Brunel Postdoctoral Fellowship in Statistics, tenable from 1 August 2013(or a date to be agreed) until 31 July 2015. The Fellowships is funded by a multi-million pound grant aimed at supporting an ambitious research programme to support "Statistics underpinning Science, Technology and Industry" (SuSTaIn). You will be expected to undertake a programme of self-directed research in any branch of Statistics as part of a Statistics Group with an outstanding international reputation for research, as confirmed by excellent results in the 2008 Research Assessment Exercise (RAE). The School of Mathematics is one of the leading centres for research and teaching in mathematical sciences in the UK, and offers a stimulating and friendly environment with first-rate facilities. Salary: £34,223 p.a. Closing date for applications: 9:00am 5 April 2013. See http://www.bristol.ac.uk/jobs/ using reference number ACAD100179 for further information or alternatively via SuSTaIn website: http://www.sustain.bris.ac.uk/jobs.html to locate the advertisement directly. -- Professor Guy Nason tel: +44 (0)117 331 8411 School of Mathematics fax: +44 (0)117 928 7999 University of Bristol Bristol BS8 1TW, UK http://www.stats.bris.ac.uk/~guy You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 14:48:03 +0000 Reply-To: Chintu Desai <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chintu Desai <[log in to unmask]> Subject: Exploratory and Early Phase Biostatisticians/Statistical Analysts, office or home based, UK Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Please reply to the details below, rather than to me Cheers Chintu -------------------------------------------------------------------------------------------------------------------------------------------------------- Dear All Stat Pharmanet|i3 are currently looking for two new members to join their Biostatistics team, one role will require a candidate with previous experience. The other could be suitable for a recent graduate who may have gained some experience during an internship or from contract work. Working in partnership with our client Boehringer Ingelheim, this unique role plays a key part in the continual support of one of our Functional Strategic Partnerships. As such we are able to offer all the advantages of working for a top-five CRO combined with the benefits of operating as an integrated member of a multi-functional client-specific clinical team. You will be responsible for: â€¢ Contributing to formal Statistical Analysis Plans. â€¢ Performing statistical analyses of data and interpreting results to ensure validity of conclusions. â€¢ Interaction with Data Management personnel as necessary to ensure that datasets are in usable format; performing statistical diagnostics prior to database locking. â€¢ Developing SAS programs as assigned, for current clinical studies. â€¢ Interaction with medical writers in production of statistical and integrated clinical/statistical reports and other documents containing statistical information. â€¢ Interaction with other departments, such as Clinical Operations and Project Management, to ensure a high level of client satisfaction through successful execution of projects. And be able to meet the following requirements: â€¢ A Bachelors degree, preferably a Masters, in statistics â€¢ The ability to make a positive contribution within a team-oriented environment. â€¢ Strong SAS programming skills in dataset preparation, data presentation and inferential analyses â€¢ Be able to perform statistical analysis of clinical data: o From early phase clinical trials with quick turnover o In a data-driven, exploratory environment without needing detailed specifications â€¢ Ability to read, analyse, and interpret common scientific and technical journals. In return you can expect: â€¢ The flexibility to be home, office or part home/office based. â€¢ A competitive remuneration package with excellent benefits including, free parking, healthcare, pension, annual performance bonus and more. â€¢ A commitment to your development and training, with the opportunity to progress your career within a market leading and innovative organisation. â€¢ The opportunity to work within a successful and rewarding environment. If you would like to apply or for an informal chat in the first instance please contact Frances Well on +44 (0) 1628 408444 or email [log in to unmask] Frances Wells Senior Recruiter, EMEA Please note new e-mail address [log in to unmask] Star House, 20 Grenfell Road, Maidenhead, Berkshire, SL6 1EH, UK P: +44(0)1628 408444 M: +44(0)7891 182660 [log in to unmask] | www.pharmanet-i3.com You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 16:15:27 +0000 Reply-To: Laura Bonnett <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Laura Bonnett <[log in to unmask]> Subject: Meeting: Statistics from the Census Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Joint meeting between RSS Merseyside Local Group & The Health and Safety Executive (HSE) 6th February 2013, 17.00 Lower Peter Jost Conference Room, Liverpool John Moores University, Byrom Street Statistics from the Census The RSS Merseyside Local Group & The Health and Safety Executive (HSE) jointly welcome Emma White from the Office for National Statistics (ONS) who will present an overview of the data from the latest Census and compare the North West region to the rest of the country. Emma is Head of Policy and Analysis for the 2011 Census outputs at ONS and has presented widely including the recent RSS annual conference. The event will provide you with an understanding of how the North West region compares to the rest of the country and what changes have occurred since the last Census was conducted in 2001. This presentation will be of interest to anyone involved in Policy or Analysis work or of general interest to anyone living in the North West region. The presentation will commence at 5pm and everyone is welcome. Wine and juice etc. will follow. To register your interest go to https://sites.google.com/site/rssmerseyside/research-meetings/census/registration You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 16:40:34 +0000 Reply-To: Chetna Kerai <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chetna Kerai <[log in to unmask]> Subject: Job vacancy: Statistician - =?UTF-8?Q?Â£25k-Â£40k_?=(depending on skills and experience) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Statistician Location: EC1V, London Salary: Â£25,000-Â£40,000 (depending on skills and experience) Department: Research About the post NatCen Social Research is looking to recruit a Statistician to work on the design and analysis of social surveys. The role involves sampling, weighting, methodological experimentation and general survey design. There would also be opportunities for the successful applicant to be involved in secondary analysis and teaching. Candidates for the post would be expected to have a degree in statistics, social statistics or a closely related discipline and/or Chartered Statistician status. Candidates would also be expected to be familiar with SPSS, Stata or a similar statistical package. The post will be at the Statistician or Senior Statistician level, depending on experience. The successful candidate will join a team of five Statisticians at NatCen, and will be based at our offices in London EC1. If you believe you have the experience and qualities we are looking for then we'd love to hear from you. About NatCen Social Research NatCen Social Research is Britainâ€™s leading independent research institute. We believe that social research has the power to make life better. By really understanding the complexity of peopleâ€™s lives and what they think about the issues that affect them, we give the public a powerful and influential role in shaping decisions and services that can make a difference to everyone. Our research covers all areas of social policy, and our findings have direct and practical policy relevance. As an independent, not for profit organisation, weâ€™re able to focus our time and energy on meeting clientsâ€™ needs and delivering social research that works for society. We offer favourable working conditions (including generous holiday entitlement, a pension scheme and every other Friday off) and a stimulating, hardworking and friendly working environment. How to apply For further details on how to apply, please visit our website: http://www.natcen.ac.uk/about-us/job-opportunities/statistician-(1) If you have any queries please contact HR on 020 7549 8526. For an informal conversation about the role please contact Kevin Pickering, Head of Statistics on 020 7549 7068. The closing date for receipt of completed applications is 10am on Thursday 7th February 2013. Interviews will take place on 14th/15th February 2013. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 16:48:59 +0000 Reply-To: Dr Sujit Sahu <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dr Sujit Sahu <[log in to unmask]> Subject: Announce: Post-graduate Open Day and PhD Studentships available Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> The University of Southampton, UK, is holding an open day to give prospective postgraduate students an opportunity to visit the University, and hear presentations on current research and possible PhD projects in all areas of the Mathematical Sciences, including Statistics. The open day will be Wednesday 30 January 2013. The Statistics group is part of Southampton Statistical Sciences Research Institute (S3RI), one of the largest groups of academic Statisticians in the UK. The focus of the Institute is methodological research and substantive applications, with many projects joint with other sciences, engineering and industry. See http://www.southampton.ac.uk/s3ri/ for more information. PhD topics are available in the areas of Statistical Modelling, Design and Analysis of Experiments, and Biostatistics. Funding is available from a variety of sources, including the Doctoral Training Account, Doctoral Training Centres (DTC), and School scholarships. Overseas students may be eligible for industrial DTC and School scholarships. The programme for the day is: 11:30 Registration 12:00 Welcome talk 12:15 Postgraduate Study at Southampton 12:40 Postgraduate Careers at Southampton 12:00-14:30 Research Showcase at the Studentsâ€™ Union 14:00-16:00 Mathematics and Statistics related events Travel expenses (e.g. standard rail fare or similar) will be reimbursed. For more details, see http://www.southampton.ac.uk/postgraduate/postgraduate_open_day.html Registration, through this website, is required. If you are interested in our PhD programme but cannot attend the open-day event please feel free to send an email to Dr Sujit Sahu ([log in to unmask]). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Thu, 17 Jan 2013 17:33:02 +0000 Reply-To: Emma Jones <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Emma Jones <[log in to unmask]> Subject: CONFERENCE: PSI 1-Day Scientific Meeting: The Design and Analysis of Observational Studies MIME-Version: 1.0 Content-Type: multipart/alternative; boundary cf307f34ce0656cb04d37f63b1 Message-ID: <[log in to unmask]> --20cf307f34ce0656cb04d37f63b1 Content-Type: text/plain; charset=windows-1252 Content-Transfer-Encoding: quoted-printable *The Design and Analysis of Observational Studies* *Wednesday 27th February 2013, 9am - 5pm, London* Statisticians are being expected to get more involved in areas outside their traditional roles in clinical development. Observational data is becoming increasingly important throughout the development process, and not just after product launch. Traditional post-authorisation safety studies will also present more challenges ahead as the type and size of data sets expands rapidly. Statisticians in the Pharmaceutical Industry (PSI) are hosting a 1-day scientific meeting which, with industry and regulatory speakers, will bring together methodology and case studies to illustrate these challenges and potential solutions to them. This 1–day meeting is a must for those looking to learn more about this exciting area. Further updates to the programme will be forthcoming. The meeting will start at 9am and is now confirmed to be held at the RSS in London, finishing at 5pm. The fee is £100 for PSI members and £140 for non-members before the 23rd January or £140 for PSI members and £200 for non-members thereafter. A reduced fee of £40 (or £70 after 23rd January) is available to academics. The full agenda can be found at http://www.psiweb.org/docs/observationalstudiesflyer.doc Registrations can be made via the PSI web site at http://www.psiweb.org. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --20cf307f34ce0656cb04d37f63b1 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: quoted-printable

Statisticians are being expected to get more involved in areas outside their traditional roles in clinical development. Observational data is becoming increasingly important throughout the development process, and not just after product launch. Traditional post-authorisation safety studies will also present more challenges ahead as the type and size of data sets expands rapidly.

Statisticians in the Pharmaceutical Industry (PSI) are hosting a 1-day scientific meeting which, with industry and regulatory speakers, will bring together methodology and case studies to illustrate these challenges and potential solutions to them. This 1–day meeting is a must for those looking to learn more about this exciting area. Further updates to the programme will be forthcoming.

The meeting will start at 9am and is now confirmed to be held at the RSS in London, finishing at 5pm. The fee is £100 for PSI members and £140 for non-members before the 23^rd January or £140 for PSI members and £200 for non-members thereafter. A reduced fee of £40 (or £70 after 23^rd January) is available to academics.

to [log in to unmask], leaving the subject line blank. --20cf307f34ce0656cb04d37f63b1-- ========================================================================Date: Fri, 18 Jan 2013 05:57:15 +0000 Reply-To: Vincent Granville <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Vincent Granville <[log in to unmask]> Subject: Boeing's Dreamliner: a nightmare due to bad analytics Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> The problems with this plane, which forced FAA to ground all of them today in US, is its new type of lithium-ion battery made in Japan, and never used in a plane before. This type of powerful battery is overheating easily, catches fire etc. resulting in a number of emergency landings over a short period of time. Now I have a few questions: 1) Aren't these batteries (like pretty much any product that you can purchase, such as car or laptop battery) going through extensive quality control testing, using sound statistical techniques to make sure that faulty batteries, or risk of failure over the lifetime of the product, is below an acceptable threshold, say below 0.001%? Read all my questions at http://www.analyticbridge.com/forum/topics/boeing-s-dreamliner-turns-into-a-nightmare-due-to-bad-analytics You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 06:43:41 +0000 Reply-To: Steve Messenger <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Steve Messenger <[log in to unmask]> Subject: Re: Boeing's Dreamliner: a nightmare due to bad analytics Comments: To: Vincent Granville <[log in to unmask]> In-Reply-To: <[log in to unmask]> Mime-Version: 1.0 (1.0) Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: quoted-printable Message-ID: <[log in to unmask]> Whilst this may be true, there are millions of components used in building an aircraft. If the tolerance of each component is not set low enough, the cumulative risk across all the set of components could reach a level that people become uncomfortable with. My understanding is that other measures were stipulated by the FAA to be put in place to offset the known higher risk from using these components. Those measures seem to have 'worked' because they have managed to deplane everyone safely so far. However, this 'risk management' approach to building a plane is obviously not an ideal way of working. Steve Sent from my iPhone On 18 Jan 2013, at 05:57, Vincent Granville <[log in to unmask]> wrote: The problems with this plane, which forced FAA to ground all of them today in US, is its new type of lithium-ion battery made in Japan, and never used in a plane before. This type of powerful battery is overheating easily, catches fire etc. resulting in a number of emergency landings over a short period of time. Now I have a few questions: 1) Aren't these batteries (like pretty much any product that you can purchase, such as car or laptop battery) going through extensive quality control testing, using sound statistical techniques to make sure that faulty batteries, or risk of failure over the lifetime of the product, is below an acceptable threshold, say below 0.001%? Read all my questions at http://www.analyticbridge.com/forum/topics/boeing-s-dreamliner-turns-into-a-nightmare-due-to-bad-analytics You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 09:40:45 +0000 Reply-To: "Neal, Peter" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Neal, Peter" <[log in to unmask]> Subject: PhD studentships (Lancaster University) Content-Type: multipart/alternative; boundary="_000_5A7C110732E6CF408D0CA9A88CADC53D037A58EX1MB0lancslocal_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_5A7C110732E6CF408D0CA9A88CADC53D037A58EX1MB0lancslocal_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Applications are invited for PhD studentships in the Department of Mathematics and Statistics at Lancaster University (UK). We currently have a number of PhD studentships available in Statistics. All studentships pay full UK/EU tuition fees plus a maintenance stipend of a minimum £13,590 per annum (tax free). We welcome applications from UK/EU and non-EU applicants with eligibility criteria applying to some studentships. The deadline for COMPLETED applications (including letters of reference) is 4 February, 2013. (PhD applications received after 4 February will be considered for future PhD studentships.) As one of the UK's most successful statistics groups, the department contains a broad range of interests including Applied Probability, Bayesian and Computational Statistics, Time Series and Extremes, Social Statistics, Medical and Pharmaceutical Statistics. We welcome applications in any of these areas. The department provides a thriving research environment, with well over 30 PhD students within Statistics and Probability. It runs an extensive range of postgraduate level courses; it is also a founder member of the UK's Academy for PhD Training in Statistics (APTS) and has the UK's only doctoral training centre, Stor-i specialising in Statistics and Operational Research. For more information, please feel free to contact Dr Peter Neal ([log in to unmask]) and visit our websites http://www.maths.lancs.ac.uk/department/research/PhD http://www.maths.lancs.ac.uk/department/research/PhD/funding You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_5A7C110732E6CF408D0CA9A88CADC53D037A58EX1MB0lancslocal_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. --_000_5A7C110732E6CF408D0CA9A88CADC53D037A58EX1MB0lancslocal_-- ========================================================================Date: Fri, 18 Jan 2013 10:36:20 +0000 Reply-To: Gary Walker <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Gary Walker <[log in to unmask]> Subject: Bias reduced generalised linear MIXED models... Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: quoted-printable Mime-Version: 1.0 (Mac OS X Mail 6.2 $1499$) Message-ID: <[log in to unmask]> Hi, Consider fitting a generalised linear model to a binary response with group fitted as a factor. Suppose further than group has 4 levels but the response is either all zeros or all ones for some of the levels... For this (albeit simplified) case, the group kindly pointed me in the direction of the function brglm in R, which has worked really well. However, brglm doesn't allow random effect terms to be included in the model. Is anyone out there developing a bias reduced generalised linear mixed effects regression model (brglmer)? Kind regards, Gary Walker. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 11:19:37 +0000 Reply-To: "Lucas, Ricardo" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lucas, Ricardo" <[log in to unmask]> Subject: JOB: SAS Programming Contract- 9 Months Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419D0DE13HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419D0DE13HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 R29vZCBhZnRlcm5vb24gQWxsc3RhdCwKClBsZWFzZSBmaW5kIGJlbG93IG91ciBsYXRlc3QgY29u dHJhY3QgU0FTIHByb2dyYW1taW5nIHZhY2FuY3kgZm9yIHRoZSBVSyBhbmQgYSBicmllZiBqb2Ig 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Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Visit statsJobs.com to view full details on the latest job listings which are summarised below. To receive the weekly job alert email from statsJobs.com, just enter your email address in the subscribe field on the homepage. Senior Lecturer / Associate Professor in Biostatistics | University of Otago | NZ Applications are invited for a full-time appointment in biostatistics in the Department of Preventive and Social Medicine, Dunedin School of Medicine. This is a confirmation path position at Senior Lecturer or Associate Professor level depending on qualifications and experience. Situated in the Department of Preventive and Social Medicine, this position is supported by the Division ... Full or Associate position in Statistics/Econometrics | Dpt of Economics, University of Cergy-Pontoise The Department of Economics and Business at the University of Cergy-Pontoise together with the Labex MME-DII invites applications for a position in Econometrics or Theoretical Microeconomics at the level of Full or Associate professor. JOB Applications are invited in all fields of Econometrics or Theoretical Microeconomics. Applicants must hold a Ph.D. or doctorate degree ... Senior Statistician | Baxter | Round Lake, IL Responsible for the design, development, and execution of quality, engineering and manufacturing projects. Translating project goals into experimental designs and statistical analyses plans. Perform statistical analyses using applicable software and methodology. Report results to clients via presentations and written reports in compliance with regulatory requirements. Essential Duties and Responsibilities: This section contains a list of ... Brunel Fellowship in Statistics | University of Bristol Applications are invited for a Brunel Postdoctoral Fellowship in Statistics, tenable from 1st August 2013 (or a date to be agreed) until 31st July 2015. The fellowship is part of a multi-million pound grant aimed at supporting an ambitious research programme to support â€œStatistics underpinning Science, Technology and Industryâ€ (SuSTaIn)â€™â€™. The successful candidate will be ... University Lecturer in Statistics | University of Oxford The Department of Statistics proposes to appoint a University Lecturer in Statistics from 1 April 2013 or as soon as possible thereafter. The successful candidate will work at the Department of Statistics and will be offered a Tutorial Fellowship at Magdalen College under arrangements described in the further particulars. The combined University and College salary ... Lecturer in Statistics | The London School of Economics and Political Science Applications are invited from outstanding candidates in the field of statistics and/or probability. You will join an established and successful department. The post is tenable from 1st September 2013, or shortly after. You should have an established track record of research at a level of international excellence (and/or a track record of journal publications), as ... Research Assistant in Medical Statistics | University of Cambridge The posted is funded for 2 years in the first instance, with likely extension thereafter. The successful candidate will work on the analysis of a prospective cohort study which has completed recruitment (July 2012) and will have completed all data collection by Spring 2013. A total of 4,544 women with first pregnancies have been recruited. ... Research Fellow â€“ Medical Statistics | University of Exeter This exciting new three-year position in medical statistics is to be an integral part of the Universityâ€™s new Biomedical Informatics Hub team, funded by a recent Wellcome Trust Institutional Strategic Support Fund award (www.exeter.ac.uk/biomedicalhub). The Hub is providing expert informatics support to a range of emerging technologies, supporting multiple research areas and teams across the University ... Lectureships in Probability or Statistics | University of Bristol The University of Bristol seeks outstanding candidates for one or more Lectureships (corresponding roughly to Assistant/Associate Professor in the North American terminology) in the areas of Probability or Statistics. The successful candidates will become members of the Probability and Statistics Group within the School of Mathematics. Candidates will be expected to have demonstrated outstanding research ... Associate Principal Statistician | AstraZeneca | Alderley Park, Cheshire Provide technical leadership within a statistical area (e.g. high dimensional data, PK/PD modelling), and/or statistical delivery leadership within a business area (i.e. a site/iMed/GSA or a defined area of business need requiring specialist statistical expertise e.g. Personalised Healthcare and Biomarkers). Description: Act as a key statistical contact for a business or statistical area and take ... You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 12:52:59 +0000 Reply-To: "Kahraman, Emel" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Kahraman, Emel" <[log in to unmask]> Subject: **Hays Life sciences - Multiple BIOMETRIC ROLES - Swiss ** Content-Type: multipart/alternative; boundary="_000_39C2638998103C48B9D7787C216B5C759E7CFDHRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_39C2638998103C48B9D7787C216B5C759E7CFDHRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBwZXJtIG9wcG9ydHVu aWl0aWUgaW4gU3dpdHplcmxhbmQuCgpIYXlzIExpZmUgU2NpZW5jZXMgaGFzIG11bHRpcGxlIGNv 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As Statistical Programmer, your responsibilities will include the following: - Co-ordinate the creation of analysis dataset specifications in the ADaM standard, if needed. - Co-ordinate the programming of analysis datasets, using specific SAS macros. - Co-ordinate the creation of the metadata files (define.xml) using specific SAS macros. - Ensuring traceability between SDTM and ADaM data. - Co-ordinate the production of tables, listings & figures - Co-ordinate the restructuring, review and integration of external data - Co-ordinate the transfer of data according to customer specific requirements. - Develop adequately documented programs for the generation of randomisation schema/program. - Set & maintain professional programming standards. - Maintain & archive program documentation - both electronic & paper - in an appropriate manner. - Maintain awareness of current features & new developments in SAS. - Maintain professional programming standards. As Statistical Programmer, you will have the following qualifications, skills and experience: - Relevant clinical trial SAS experience or a STID diploma and a SAS certification Base at least. - Proficient SAS programming skills with mastery of SAS/STAT SAS/BASE, SAS macro language. SAS/GRAPH is a nice to have - Capacity to interface with clinicians, statisticians and data managers as statistical programmer in charge of a clinical trial - Capacity to work independently or under the guidance of a senior MSD programmer - Ability to work complying to the company programming SOPs, data standards and macro library as well as capacity to develop project specific code independently under company SOPs For more information or to apply for this Statistical Programmer position, please contact Mylene Paumier on +44 (0)207 470 5672 or email: [log in to unmask][log in to unmask]>. Best regards, Mylene Mylene Paumier European Recruitment Consultant CK Clinical Limited Crown House 72, Hammersmith Road London W14 8TH DD: +44 (0)207 470 5672 Tel: +44 (0)207 470 5670 [log in to unmask] www.ckagroup.co.uk CK Clinical, CK IT, CK Regulatory and CK Science are trade names of CK Associates Limited Registered in England No 2611749 CONFIDENTIAL The information contained in this email and any attachment is confidential. It is intended only for the named addressee(s). If you are not the named addressee, please notify the sender immediately and do not disclose, copy or distribute the contents to any person other than the intended addressee(s). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_3881B5C744676049AFE62073CC1567FE0A09FA31CKASBS2011CKAlo_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear AllStat,

CK Clinical is recruiting for a Statistical Programmer to join an International CRO at their site based in Brussels on a contract basis.

As Statistical Programmer, your responsibilities will include the following:

- Co-ordinate the creation of analysis dataset specifications in the ADaM standard, if needed.

- Co-ordinate the programming of analysis datasets, using specific SAS macros.

- Co-ordinate the creation of the metadata files (define.xml) using specific SAS macros.

- Ensuring traceability between SDTM and ADaM data.

- Co-ordinate the production of tables, listings & figures

- Co-ordinate the restructuring, review and integration of external data

- Co-ordinate the transfer of data according to customer specific requirements.

- Develop adequately documented programs for the generation of randomisation schema/program.

- Set & maintain professional programming standards.

- Maintain & archive program documentation - both electronic & paper - in an appropriate manner.

- Maintain awareness of current features & new developments in SAS.

- Maintain professional programming standards.

As Statistical Programmer, you will have the following qualifications, skills and experience:

- Relevant clinical trial SAS experience or a STID diploma and a SAS certification Base at least.

- Proficient SAS programming skills with mastery of SAS/STAT SAS/BASE, SAS macro language. SAS/GRAPH is a nice to have

- Capacity to interface with clinicians, statisticians and data managers as statistical programmer in charge of a clinical trial

- Capacity to work independently or under the guidance of a senior MSD programmer

- Ability to work complying to the company programming SOPs, data standards and macro library as well as capacity to develop project specific code independently under company SOPs

For more information or to apply for this Statistical Programmer position, please contact Mylene Paumier on +44 (0)207 470 5672 or email: [log in to unmask]" target="_blank">[log in to unmask].

Best regards,

Mylene

Mylene Paumier

European Recruitment Consultant

CK Clinical Limited

Crown House

72, Hammersmith Road

London

W14 8TH

DD: +44 (0)207 470 5672

Tel: +44 (0)207 470 5670

[log in to unmask]

www.ckagroup.co.uk

CK Clinical, CK IT, CK Regulatory and CK Science are trade names of CK Associates Limited

Registered in England No 2611749

CONFIDENTIAL

The information contained in this email and any attachment is confidential. It is intended only for the named addressee(s). If you are not the named addressee, please notify the sender immediately and do not disclose, copy or distribute the contents to any person other than the intended addressee(s).

to [log in to unmask], leaving the subject line blank. --_000_3881B5C744676049AFE62073CC1567FE0A09FA31CKASBS2011CKAlo_-- ========================================================================Date: Fri, 18 Jan 2013 16:56:11 +0000 Reply-To: Matthias Troffaes <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Matthias Troffaes <[log in to unmask]> Subject: Workshop: SIMRIDE 2013 - 2nd Announcement Comments: cc: Grant Ingram <[log in to unmask]> In-Reply-To: <[log in to unmask]> MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1 Message-ID: [log in to unmask]> Workshop: SIMRIDE 2013 - 2nd Announcement [Apologies for cross-posting] Website: http://www.maths.dur.ac.uk/users/matthias.troffaes/simride2013/ Registration (deadline: 18 Feb 2013): https://www.dur.ac.uk/conference.booking/details/?id6 The Department of Mathematical Sciences and the School of Engineering and Computing Sciences, Durham University, organise a workshop on uncertainty quantification and data assimilation in numerical simulation of physical systems for risk-informed decision making; in short, simulation for risk-informed decisions, or SIMRIDE. The workshop will run from Monday 18 March until Thursday 21 March 2013. Key to solving many large industrial scale problems is assimilation of data along with real-time simulation of a physical system, combined with uncertainty quantification to allow risk-informed decisions to be made. Often these systems are highly non-linear and require vast computing power, which presents a serious challenge to assimilation of data in real-time, and to quantify uncertainty bounds resulting from model uncertainty and measurement error. A major aim of SIMRIDE is to facilitate the link between industry and academia. The workshop will consist of talks by people from both camps, with ample time for discussion in a relaxed environment. The themes of each day are as follows: * Monday: Risk & Decision (keynote by Simon Blake, ECS, UK) * Tuesday: Extreme Events (keynote by David Randell, Shell, UK) * Wednesday: Simulation (keynote by Michael Goldstein, Maths, Durham) * Thursday: Energy (keynote by Robert Jeffers, Idaho National Laboratory, US) A list of currently confirmed speakers and titles of talks is at: http://www.maths.dur.ac.uk/users/matthias.troffaes/simride2013/programme.html There will be a formal workshop dinner on Tuesday 19 March. Everyone, including PhD students, is welcome to participate and/or to present their views. Registration for the first 25 places on this workshop is free, as these places are funded by an EPSRC grant. Once these places have been used up, a fee of around 150 GBP will be charged. Registration covers coffee & biscuits during breaks, buffet lunch, the workshop dinner and conference materials. You can register via the following website: https://www.dur.ac.uk/conference.booking/details/?id6 The deadline for registration is 18 February 2013. If you require any further information, then please do not hesitate to contact one of the organisers. Best wishes, Matthias Troffaes ([log in to unmask]) Grant Ingram ([log in to unmask]) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 17:28:42 +0000 Reply-To: Rachel Keay <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Rachel Keay <[log in to unmask]> Subject: R Programmer - Permanent Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Dear allstat, Please find below, permanent opportunity for an R Programmer. R Programmer â€“ Permanent / Homebased / Europe Are you a leader in the R community? If so we want to hear from you. Our client is looking for a Data Scientist to join their rapidly growing Industry Analytics Group and provide analytics expertise in the context of customer implementations. The successful candidate will also engage in methodology development to sharpen our current tool kit. This position will require some travel to customer locations as well as research and development within the suite of products. Desired Skills & Experience â€¢ Candidates must have experience in statistical data analysis and some involvement in delivering statistical analyses as part of demonstrations, projects, engagements or deployed software applications â€¢ Candidates must be comfortable/ fluent in speaking with senior industry personnel and be able to present/ demonstrate software; and document projects e.g. results of analyses. â€¢ Candidates must have experience with R. Experience with other software environments e.g. S-Plus, SAS, Matlab, Spotfire, Spotfire Miner, and/or other data mining software is a plus. Experience with other software e.g. .Net, Java and/or scripting environments e.g. Python is a plus. â€¢ Candidates should have a master or PhD degree with a major in statistics. Candidates with a major in other disciplines and with statistics classes will also be considered. Graduate statistics classes in Time Series Analysis, Longitudinal Methods and/or Data Mining are a plus. â€¢ Candidates must be proficient in the Windows environment; Linux is a plus. â€¢ Familiarity with Energy, Telco and/or Life Sciences/ Pharmaceutical industries is a plus; as is familiarity with Customer Insight (CRM), Sales and Marketing and/or Manufacturing functional area. Competitive Salary If you are interested in this position, please contact me directly or forward your CV details to [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 18:29:29 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Contract SAS Programmer | SDTM/ADaM Standards | Italy | =?utf-8?Q?â‚¬42+_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD75Fmsx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD75Fmsx1s2berdlpl_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" 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c2VudCB0aGUgaW50ZWdyaXR5IG9mIGUtbWFpbCBhY3Jvc3MgdGhlIEludGVybmV0IGNhbm5vdCBi ZSBndWFyYW50ZWVkIGFuZCBtZXNzYWdlcyBzZW50IHZpYSB0aGlzIG1lZGl1bSBhcmUgcG90ZW50 aWFsbHkgYXQgcmlzay4gQWxsIGxpYWJpbGl0eSBpcyBleGNsdWRlZCB0byB0aGUgZXh0ZW50IHBl cm1pdHRlZCBieSBsYXcgZm9yIGFueSBjbGFpbXMgYXJpc2luZyBhcyBhIHJlc3VsdCBvZiB0aGUg dXNlIG9mIHRoaXMgbWVkaXVtIHRvIHRyYW5zbWl0DQogaW5mb3JtYXRpb24gYnkgb3IgdG8gU0VD IFJlY3J1aXRtZW50IExpbWl0ZWQuPGJyPg0KPC9mb250Pg0KPC9ib2R5Pg0KPC9odG1sPg0KWW91 IG1heSBsZWF2ZSB0aGUgbGlzdCBhdCBhbnkgdGltZSBieSBzZW5kaW5nIHRoZSBjb21tYW5kDQo8 cD4NClNJR05PRkYgYWxsc3RhdA0KPC9wPjxwPg0KdG8gPGEgaHJlZj0ibWFpbHRvOmxpc3RzZXJ2 QGppc2NtYWlsLmFjLnVrIj5saXN0c2VydkBqaXNjbWFpbC5hYy51azwvYT4sIGxlYXZpbmcgdGhl IHN1YmplY3QgbGluZSBibGFuay4NCg=--_000_6D20A4DCA47B86428D14CF60A030E86F0C4BEBD75Fmsx1s2berdlpl_-- ========================================================================Date: Fri, 18 Jan 2013 20:35:32 +0000 Reply-To: A Chau <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: A Chau <[log in to unmask]> Subject: JOB: Director of Biostatist=?UTF-8?Q?â€‹ics_(Nashvilleâ€‹,_?=USA) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> JOB: Director of Biostatistics, Sarah Cannon Research Institute (SCRI), Nashville TN, USA Reporting to Senior Director of Data Science, SCRI Services, the Director of Biostatistics will serve as a key member of the SCRI Services Leadership Team and ensure that appropriate statistical techniques are used which ensure the scientific validity and overall quality of clinical trial results. The Director of Biostatistics will lead all statistical analysis, contribute statistical input and represent the Biostatistics function of SCRI Services to external partners. SCRI firmly believes in its mission to "advance therapies for patients;" therefore, SCRI considers it a priority to find the right leader for the Director of Biostatistics position. This position will be critical to SCRI's success in the improvement of patient outcomes and the advancement of medical science. SCRI is looking for a strong business person who has proven to be exceptional in Biostatistics leadership. Desired Skills & Experience â€¢ Advanced degree in Biostatistics or Statistics required: MSc minimum, PhD preferred â€¢ At least 10+ years of biostatistics in a regulated clinical research environment ( pharmaceutical / biotechnology / CRO) required â€¢ Experience in oncology â€¢ In depth and thorough understanding of the clinical research and drug development, and requirements on regulatory submissions and compliance â€¢ Excellent broad knowledge in statistics including study design methodologies, categorical data analysis, survival analysis etc, and experience in the use of modeling and simulation to enhance clinical trial design and decision making. â€¢ Strong hands-on experience and knowledge with SAS and other statistical software â€¢ Must be familiar with ICH guidelines, regulatory requirements and industry standards (eg CDISC) and best practices related to statistical and programming activities â€¢ Extensive and progressive management / leadership experience. Play an active role in mentoring and career development of statisticians and SAS programmers Company Description Sarah Cannon Research Institute (SCRI) is a global strategic research organization focusing on advancing therapies and accelerating drug development. It is one of the largest clinical research programs, conducting community-based clinical trials in oncology and cardiology through affiliations with a network of more than 700 physicians in the United States and United Kingdom. Additionally, SCRI offers management, regulatory and other research support services to drug development sponsors and strategic investigator sites. For more details, and to apply, please go to http://sarahcannonresearch.com/careers/search-for-jobs.dot (No agencies, please) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Fri, 18 Jan 2013 22:05:24 +0000 Reply-To: Vincent Granville <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Vincent Granville <[log in to unmask]> Subject: The Disruptive Power of Big Data in the 2012 Presidential Election Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Live webcast >> Register now at https://bit.ly/WbGHiE Best Practices from the 2012 Presidential Campaign Thursday, January 24, 2013 at 10:00am PT, 1:00pm ET Looking back years from now, the 2012 presidential election may go down in history as the first in which Big Data analytics entered the popular (or at least pundit) discourse. President Obama's campaign manager, Jim Messina, committed from the very beginning to "measure everything," and "use analytics across the campaign spectrum." Join HP Vertica and the Democratic National Committee for this can't-miss Webcast and learn how Big Data analytics powered by the HP Vertica Analytics Platform empowered the Obama campaign to reinvent how presidential campaigns are conducted. The Disruptive Power of Big Data Analytics In politics, Big Data analytics can improve market knowledge, enhance competitiveness, and challenge pre-conceived notions of how business is done. Big Data analytics is disruptive and enterprises that learn to harness the power of Big Data for competitive advantage will thrive in the era ahead. Join us for this live Webcast and learn how the HP Vertica Analytics Platform - in a little more than a year - enabled the Obama Campaign to: 1) Quickly build an agile analytics team to create cross-domain analyses without waiting on engineering 2) Plan and implement analytics-driven programs (from TV to Facebook to volunteer recruitment and traditional voter contact) 3) Measure everything and use analytics across the campaign spectrum Presenters: Chris Wegrzyn, Director of Data Architecture, Democratic National Committee (DNC) Chris Selland, VP of Marketing, HP Vertica >> Register Now at https://bit.ly/WbGHiE Join our Live Webcast on Thursday, January 24th, 10:00am PT, 1pm ET, or sign up to receive a link to the recorded version. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Sat, 19 Jan 2013 09:19:25 +0000 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Margaret MacDougall <[log in to unmask]> Subject: Misuse of chi-square test of association in Medicine MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="-1320627598-1778791112-1358587165=:94948" Message-ID: <[log in to unmask]> ---1320627598-1778791112-1358587165=:94948 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Dear List Members Apologies for cross-posting I would be most grateful to learn of any published instances in the medical literature where the chi-square test of association has been wrongly applied through a failure to appreciate the need for observations to be independent. Many thanks in advance Best wishes Margaret MacDougall You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ---1320627598-1778791112-1358587165=:94948 Content-Type: text/html; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable

to [log in to unmask], leaving the subject line blank. ---1320627598-1778791112-1358587165=:94948-- ========================================================================Date: Mon, 21 Jan 2013 11:22:11 +1300 Reply-To: Nicola Petty <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Nicola Petty <[log in to unmask]> Organization: Creative Heuristics Ltd Subject: BLOG: Subject choice in NZ MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_0001_01CDF7C9.8FC19C90" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_0001_01CDF7C9.8FC19C90 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Hi all I hope you aren't all freezing in the snow. Expecting 26 degrees here (Celsius). This blog is probably obvious to you, but may help you promote statistics to maths teachers. http://learnandteachstatistics.wordpress.com/2013/01/21/stats-or-calc/ Nicola Dr Nicola Ward Petty Creative Heuristics Ltd Phone 64 3 980 0901 _____ See my blog: Learn and Teach Statistics and Operations Research www.learnandteachstatistics.wordpress.com and our fabulous new app AtMyPace: Statistics: http://itunes.apple.com/us/app/atmypace-statistics/id477053351?ls=1&mt=8 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0001_01CDF7C9.8FC19C90 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Hi all

I hope you aren’t all freezing in the snow. Expecting 26 degrees here (Celsius).

This blog is probably obvious to you, but may help you promote statistics to maths teachers.

http://learnandteachstatistics.wordpress.com/2013/01/21/stats-or-calc/

Nicola

Dr Nicola Ward Petty
Creative Heuristics Ltd
Phone 64 3 980 0901

See my blog: Learn and Teach Statistics and Operations Research

www.learnandteachstatistics.wordpress.com

and our fabulous new app AtMyPace: Statistics:

http://itunes.apple.com/us/app/atmypace-statistics/id477053351?ls=1&mt=8

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0001_01CDF7C9.8FC19C90-- ========================================================================Date: Mon, 21 Jan 2013 09:17:04 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: Director of Exploratory Statistics Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011F888CHRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011F888CHRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBwZXJtYW5lbnQgQmlv c3RhdGlzdGljaWFuIHZhY2FuY3kgZm9yIHRoZSBVSyB3b3JraW5nIHdpdGggYSBsZWFkaW5nIGds b2JhbCBCaW9waGFybWFjZXV0aWNhbCBjbGllbnQuCgpESVJFQ1RPUiBPRiBFWFBMT1JBVE9SWSBT 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charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable University of Oxford - Department of Statistics Two Postdoctoral Research Assistants Fixed term contract for 2 years Project: "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo" We invite applications for two EPSRC-funded postdoctoral research position to work on the project "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo". The posts will be supervised by Profs Yee Whye Teh and Arnaud Doucet in the Statistics Department, and form part of a joint project with Professor Christophe Andrieu (Mathematics, Bristol University). Both are a 2-year fixed term positions and have flexible start dates between 1st March 2013 and 1st March 2014. Candidates should have completed, or be soon to complete, a doctorate in Statistics, Machine Learning, Computer Science or affiliated areas. Experience in the areas of Monte Carlo methods, computational statistics, or large scale probabilistic inference are essential. The posts are available for 2 years, have a salary on the University grade 7 scale (currently £29,249 to £39,257), includes membership of the University pension scheme and have an annual leave entitlement of 38 days per year (inclusive of all public holidays and university closed periods). Requests to work on a part time or flexible basis will be considered. Applications for this vacancy are to be made online. You will need to upload a supporting statement, Curriculum Vitae including list of publications, statement of research interests and details of two referees, who should send their references by the closing date. To apply for this role and for further details, including a job description and selection criteria, please visit: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=106059 Only applications received before 12 noon (UK time), Friday 8th February 2013 will be considered. Interviews will take place in the week beginning 4th March 2013. Committed to equality and valuing diversity. Oxford University is an Equal Opportunities Employer. Jennie McKenzie Administrator Dept of Statistics University of Oxford 1 South Parks Road Oxford OX1 3TG Tel: 01865 272869 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_34B23A908DAFF3468271A8E02B8521A50B125CMBX03adoakoxacuk_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

University of Oxford – Department of Statistics

Two Postdoctoral Research Assistants

Fixed term contract for 2 years

Project: "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo”

We invite applications for two EPSRC-funded postdoctoral research position to work on the project "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo”. The posts will be supervised by Profs Yee Whye Teh and Arnaud Doucet in the Statistics Department, and form part of a joint project with Professor Christophe Andrieu (Mathematics, Bristol University). Both are a 2-year fixed term positions and have flexible start dates between 1st March 2013 and 1st March 2014.

Candidates should have completed, or be soon to complete, a doctorate in Statistics, Machine Learning, Computer Science or affiliated areas. Experience in the areas of Monte Carlo methods, computational statistics, or large scale probabilistic inference are essential. The posts are available for 2 years, have a salary on the University grade 7 scale (currently £29,249 to £39,257), includes membership of the University pension scheme and have an annual leave entitlement of 38 days per year (inclusive of all public holidays and university closed periods). Requests to work on a part time or flexible basis will be considered.

Applications for this vacancy are to be made online. You will need to upload a supporting statement, Curriculum Vitae including list of publications, statement of research interests and details of two referees, who should send their references by the closing date.

To apply for this role and for further details, including a job description and selection criteria, please visit:

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=106059

Only applications received before 12 noon (UK time), Friday 8th February 2013 will be considered. Interviews will take place in the week beginning 4th March 2013.

Committed to equality and valuing diversity.

Oxford University is an Equal Opportunities Employer.

Jennie McKenzie

Administrator

Dept of Statistics

University of Oxford

1 South Parks Road

Oxford OX1 3TG

Tel: 01865 272869

to [log in to unmask], leaving the subject line blank. --_000_34B23A908DAFF3468271A8E02B8521A50B125CMBX03adoakoxacuk_-- ========================================================================Date: Mon, 21 Jan 2013 10:29:26 +0000 Reply-To: Simon Wilson <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Simon Wilson <[log in to unmask]> Subject: CONFERENCE: call for abstracts for GDRR 2013 Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Dear allstat, The third Symposium on Games and Decisions in Risk and Reliability is being held in Kinsale, Co. Cork, Ireland from 8th to 10th July 2013. The conference website is now open for the submission of abstracts for contributed papers. The deadline for abstract submission is 28th February 2013. If you wish to submit an abstract then please go the conference website at https://www.cs.tcd.ie/disciplines/statistics/statica/statica_web/GDRR13/GDRR13.html and follow the abstract submission link. Regards, Simon Wilson (local programme chair) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Mon, 21 Jan 2013 11:09:00 -0000 Reply-To: Stewart Ellison <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Stewart Ellison <[log in to unmask]> Subject: PHASTAR: Clinical trial statistical programmer MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_0081_01CDF7C7.B7198CF0" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_0081_01CDF7C7.B7198CF0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Looking to challenge yourself in a technical programming role supporting a top 10 pharma client in 2013? PHASTAR is looking to recruit a senior clinical trial programmer with at least three years industry experience programming in SAS (ideally some R experience too). If successful in this role, you will be responsible for programming and QC of TFL's and datasets, and will be supporting phase III trials and integrated global submissions. In addition, you will be engaged in converting SDTM and AdaM datasets into CDISC, so experience in this field is preferable. - Advance your career in intellectually-stimulating, dynamic, supportive environment - Variety of challenging projects with large, reputable pharma companies - Excellent remuneration (competitive salary, pension, healthcare, and training) - Actively contribute to PHASTAR research for journals and presentations - Company owned and run by statisticians and programmers (mentoring programme in place) - All applicants will be contacted within three working days PHASTAR has built a reputation within top ten pharma companies as a leader in the provision of high quality clinical trial statistics and programming services. We understand the importance of developing great people to ensure this reputation for quality continues to grow. You will be mentored by managers with substantial hands-on industry experience in a range of therapeutic areas. You are required to have at least three years SAS programming experience and relevant qualifications. You should possess effective communication skills, and be confident liaising with clients. Contact Stewart confidentially: [log in to unmask] or call 0207 183 7062 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0081_01CDF7C7.B7198CF0 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable