Thank you I will look out for it.
Carol
--On 02 March 2010 00:00 +0000 allstat automatic digest system
<[log in to unmask]> wrote:
> There are 10 messages totalling 701 lines in this issue.
>
> Topics of the day:
>
> 1. Boosting Trees
> 2. ONLINE SHORT COURSE: WarpPLS: NONLINEAR PLS path modeling software
> 3. Job: Reader/Lecturer in Statistics, Durham University: closing date
> soon 4. CONTRACT: Expert Statistician - Respiratory - UK or Switzerland
> 5. Invitation to STOR-i Doctoral Training Centre Open Day, 17th March
> 2010 6. New contract opportunity
> 7. SAS Oversight Programmer / Lead Programmer
> 8. COURSE REMINDER: Microarray R course at Imperial College
> 9. Contract Statistics role in Switzerland - Up to CHF 900 / ?550 per
> day 10. PSI Conference - Early Bird Deadline Reminder
>
> 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: Sun, 28 Feb 2010 19:04:19 -0500
> From: Lars Chi <[log in to unmask]>
> Subject: Boosting Trees
>
> Dear Experts,
>
> I=92m trying to understand how correlated predictors impact the Relative
> Importance measure in Stochastic Boosting Trees (J. Friedman). As
> Friedman described =93 =85with single decision trees (referring to
> Brieman=92s CART algorithm), the relative importance measure is augmented
> by a strategy involving surrogate splits intended to uncover the masking
> of influential variables by others highly associated with them. This
> strategy is most helpful with single decision trees where the opportunity
> for variables to participate in splitting is limited by the size of the
> tree. In the context of Boosting, however, the number of splitting
> opportunities is vastly increased, and surrogate unmasking is less
> essential=94.
> Based on the results from the simulated example below (in R), if I have,
> sa= y
> two variables which are highly correlated, then the relative importance
> measure derived from Boosting will tend to be high for one of the
> predictor= s
> and low for the other. I=92m trying to reconcile this observation with
> Friedman=92s description above, which according to my understanding,
> these = two
> variables should have about the same measure of importance. I'll
> appreciate your comments. Thanks in advance!
>
>
> require(gbm)
> require(MASS)
># Generate multivariate random data such that X1 is moderetly correlated by
> X2, strongly
># correlated with X3, and not correlated with X4 or X5.
> cov.m <-
> matrix(c(1,0.5,0.9,0,0,0.5,1,0.2,0,0,0.9,0.2,1,0,0,0,0,0,1,0,0,0,0,0,1),5
> ,5= ,
> byrow=3DT)
> n <- 2000 # obs
> X <- mvrnorm(n, rep(0, 5), cov.m)
> Y <- apply(X, 1, sum)
> SNR <- 10 # signal-to-noise ratio
> sigma <- sqrt(var(Y)/SNR)
> Y <- Y + rnorm(n,0,sigma)
> mydata <- data.frame(X,Y)
># Fit Model (should take less than 20 seconds on an average modern
># computer)
> gbm1 <- gbm(formula =3D Y ~ X1 + X2 + X3 + X4 + X5,
> data=3Dmydata,
> distribution =3D "gaussian",
> n.trees =3D 500,
> interaction.depth =3D 2,
> n.minobsinnode =3D 10,
> shrinkage =3D 0.1,
> bag.fraction =3D 0.5,
> train.fraction =3D 1,
> cv.folds=3D5,
> keep.data =3D TRUE,
> verbose =3D TRUE)
>## Plot variable influence
> best.iter <- gbm.perf(gbm1, plot.it =3D T, method=3D"cv")
> print(best.iter)
> summary(gbm1,n.trees=3Dbest.iter) # based on the estimated best number of
> trees
>
> You may leave the list at any time by sending the command
>
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>
> to [log in to unmask], leaving the subject line blank.
>
> ------------------------------
>
> Date: Sun, 28 Feb 2010 20:31:06 -0500
> From: Geoffrey Hubona <[log in to unmask]>
> Subject: ONLINE SHORT COURSE: WarpPLS: NONLINEAR PLS path modeling
> software
>
> This is a four-hour, one day, live, synchronous, online workshop =
> (Saturday, March 20 @ 1PM-5PM EST (GMT-5)). Participate from any =
> location on earth. Participants receive: (1) WarpPLS software; (2) all =
> slides and short course materials; (3) "hands-on" exercises and data =
> sets; (4) relevant citations and literature; and (5) complete audio- and =
> video- recordings of the workshop when completed, for an extended period =
> of time at no extra charge. The registration fee is $150 USD for =
> faculty/practitioners and $100 USD for students. Included in the =
> registration fee is a year-long, fully-featured version of WarpPLS =
> software (non-workshop participants pay $65 USD for a year-long =
> license). WarpPLS was developed by Dr. Ned Kock, a professor at Texas =
> A&M International University. There is more information at =
> https://www.regonline.com/warppls-march-20-2010 and at =
> http://www.pls-sem.com <http://www.pls-sem.com/> .=20
>
>
> WarpPLS can estimate 'S' path coefficients, 'U' path coefficients, as =
> well as linear path coefficients. In addition, WarpPLS has other unique =
> features compared to existing PLS-SEM software available today (see =
> http://www.warppls.com). These include the calculation and output of =
> overall PLS path model goodness-of-fit (GoF) indices.=20
>
> Please note that a significant portion of workshop revenues are returned =
> to the WarpPLS development team at TAMIU to promote the continued =
> development of this PLS path modeling data analysis software.
>
> The workshop is presented using the award-winning Elluminate Live ! =
> eDistance learning platform. All that is required to participate is a =
> fast, reliable Internet connection (not dial-up) and a set of =
> inexpensive headphones with a microphone. There is no cost for =
> participants to use the Elluminate Live ! platform. The WarpPLS workshop =
> is accessible from any location on Earth with an Internet connection.
>
> Questions may be addressed to [log in to unmask] =
> <mailto:[log in to unmask]> . Dr. Geoffrey Hubona is an associate =
> professor of computer information systems at Georgia State University in =
> Atlanta, GA, USA. There is also more information available at =
> http://pls-sem.com.
>
> =20
>
> =20
> Geoffrey S. Hubona
> Associate Professor
> Computer Information Systems
> J. Mack Robinson College of Business
> Georgia State University
> Atlanta, Georgia
>
> 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, 1 Mar 2010 08:37:43 +0000
> From: David Wooff <[log in to unmask]>
> Subject: Job: Reader/Lecturer in Statistics, Durham University: closing
> date soon
>
> https://jobs.dur.ac.uk/jobdtls.asp?Session_in=&Uid=&vref=3614
>
> Closing date 19th March 2010
>
> Contact for informal enquiries:
>
> Professor Frank Coolen
> 0191 3343048
> [log in to unmask]
>
> Alternative Contact:
>
> Professor Michael Goldstein
> 0191 3343065
> [log in to unmask]
>
> Apply online via the weblink.
>
> --------------------
>
> You will have an excellent research record in an area of Statistics as
> appropriate for the level for which you apply; preference may be given
> to candidates whose research areas are compatible with existing
> interests of the Statistics Group. You will be expected to make a
> substantial commitment to the research activities of the Statistics
> Group, and to undertake teaching and administrative duties as assigned
> by the Head of Department of Mathematical Sciences. For appointment as
> Reader, candidates must have a substantial record of excellent
> publications at internationally leading level, experience with
> postgraduate supervision and substantial teaching experience at
> University level, and a record of successful generation of external
> funding for research projects is highly desirable. For appointment as
> Lecturer at Grade 8 candidates need to provide evidence of relevant
> teaching experience at University level and a significant record of
> publications at international level.
>
> Department of Mathematical Sciences:
>
> Durham University is one of the UK's leading research-led universities,
> with a strong commitment to both teaching and research. The Department
> of Mathematical Sciences is a large department, with an active programme
> of internationally recognised research in a broad range of areas, and
> several popular degree programmes with a very high quality student
> intake. The Department currently has 54 members of academic staff,
> conducting internationally excellent research in Pure Mathematics,
> Applied Mathematics, and Statistics/Probability/OR. There is a strong
> and active research environment, with many visitors, seminars,
> international conferences and workshops, and the Department benefits
> from fully supported excellent computer and library facilities.
>
> The Statistics Group currently has 10 academic staff, 5 Postdoctoral
> researchers and 25 PhD students. Areas of particular research interest
> include Bayesian Statistics (with specific expertise in Bayes Linear
> Methods), Foundations of Statistics and Decision Theory (with specific
> attention to generalized uncertainty quantification) and Applied
> Statistics (with specific attention to large-scale applications). These
> areas are combined in ongoing research in large-scale applications, in
> particular in the area of uncertainty in large-scale physical systems
> represented by computer models.
>
> The post is subject to standard probationary terms. Further information
> will be issued in the contract of employment.
>
>
> --
> David Wooff,
> Director, Statistics and Mathematics Consultancy Unit,
> & Senior Lecturer in Statistics, University of Durham.
> Department of Mathematical Sciences, Science Laboratories,
> South Road, Durham, DH1 3LE, UK. email: [log in to unmask]
> Tel. 0191 334 3121, Fax 0191 334 3051.
> Web: http://maths.dur.ac.uk/stats/people/daw/daw.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.
>
> ------------------------------
>
> Date: Mon, 1 Mar 2010 09:32:43 +0000
> From: James Carrera <[log in to unmask]>
> Subject: CONTRACT: Expert Statistician - Respiratory - UK or Switzerland
>
> Expert Statistician
> 6 month rolling Contract
> Based in UK or Switzerland
>
>
> Summary:
>
> The Expert Statistician is fully responsible for scientific input into
> proj= ects and studies in both early and late phases of development
> (Profiling an= d PK studies). The expert statistician is fully
> responsible for the operati= onal aspects of the project, and for
> effective interactions with the projec= t teams.
>
>
> Role / Responsibilities:
>
> 1. Provide operational oversight for all CIS deliverables for
> assigned= projects and studies, including full responsibility for
> timelines and qual= ity standards. Scope of projects may include those in
> very early phases of = development leading up to a proof of concept
> (PoC), but also the ED aspects= of late phase projects and submissions.
> 2. Provide scientific input and advise to project and study teams,
> and= provide guidance and leadership with respect to innovative
> approaches to s= tudy design and decision making; ensure appropriate
> involvements of M&S, St= atistical Methodology and other internal or
> external statistical consultant= s in all assigned projects.
> 3. Contribute to Clinical Development Plans for assigned projects.
> 4. Partner with the project and study teams, and represent
> Biostatisti= cs in review and decision boards such as protocol review
> committee and PoC = peer review.
> 5. Be accountable to the TA lead statistician in the Respiratory TA
> an= d to the global head of ED Biostatistics for timeliness and high
> quality of= all CIS deliverables in assigned projects.
> 6. Interact with Health Authorities and external consultants and
> exper= ts as appropriate.
> 7. Support evaluation of in-licensing opportunities as appropriate.
> 8. Provide technical statistical leadership within the ED
> Biostatistic= s group, and may serve as mentor to more junior members of
> staff.
>
>
> Essential Skills:
>
> Educated to PhD level in statistics or equivalent degree / knowledge /
> expe= rtise, you will be experienced in all main tasks of a Senior
> Statistician a= nd experience as project statistician for international
> clinical teams or c= omparable experience in similar ED role. You will
> also have;
>
> 1. Good leadership skills.
> 2. Very good project management skills.
> 3. Very good communication and presentation skills
> 4. Good knowledge of the drug development process and relevant HA
> guid= elines.
> 5. Basic coaching and mentoring skills.
> 6. Good team player.
> 7. Strong knowledge and expertise in statistics and its applications
> i= n clinical trials.
> 8. Experience with implementation of novel methods and/or innovative
> s= trategies.
> 9. Fluent in English
>
>
> Regards
>
> James Carrera
> Manager - Pharmaceutical, Healthcare & CRO Division
> Tel: +44 (0) 207 255 6665 [log in to unmask]
> Fax: +44 (0) 207 255 6656
>
> SEC Recruitment Limited is acting as an Employment Agency and /or
> Employmen= t Business
>
> SEC Recruitment Ltd Company registered in England and Wales No. 5808613 -
> R= egistered 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 an= d unauthorised use. The views of the author may not
> necessarily reflect tho= se of the Company. It is intended solely for the
> addressee, or the employee= or agent responsible for delivering such
> materials to the addressee. If yo= u have received this message in error
> please return it to the sender then d= elete the email and destroy any
> copies of it. If you are not the intended r= ecipient, any form of
> reproduction, dissemination, copying, disclosure, mod= ification,
> distribution and/or publication or any action taken or omitted t= o be
> taken in reliance upon this message or its attachments is prohibited a=
> nd 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 r= isk. All liability is excluded to the extent permitted
> by law for any claim= s 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.
>
> ------------------------------
>
> Date: Mon, 1 Mar 2010 10:08:14 -0000
> From: "Eckley, Idris" <[log in to unmask]>
> Subject: Invitation to STOR-i Doctoral Training Centre Open Day, 17th
> March 2010
>
> Dear list members,
>
> Please could you forward details of the following open day to those who
> might be interested.
>
> Many thanks,
>
> Idris Eckley and Kevin Glazebrook
>
>
> STOR-i DTC Open Day, Lancaster University
> Wednesday March 17, 2010
>
> The STOR-i DTC at Lancaster University is a pioneering new 4 year
> Statistics and Operational Research=20
> PhD programme with substantial Government and industry backing. For
> October 2010 entry we have=20
> 10 fully-funded studentships, with up to 50% more funding than standard
> PhDs (equating to a=20
> competitive graduate salary).
>
> STOR-i offers you a new style of PhD training, which provides an
> opportunity to:=20
> be part of an exciting new group of researchers; =20
> co-operate and interact with like-minded peers;
> work directly with leading industry partners;=20
> open up real potential for rapid career progression;=20
> make a real scientific and industrial impact with your
> research.
>
> To find out more - come along to our open day. The programme for the day
> will include talks describing:
> - The STOR-i DTC
> - What doing a PhD is really like
> - Describing different research project areas
> - Career opportunities in Statistics and Operational Research
> given by speakers from industry
> There will also be time to talk to some of our current PhD students,
> tour the campus and meet=20
> with members of staff. For those who have already applied for a place at
> the STOR-i DTC there=20
> will also be short interviews.
>
> We have funds available to cover reasonable travel costs for students
> meeting the eligibility conditions=20
> for funding (http://www.stor-i.lancs.ac.uk/funding/). For those coming
> from further afield in the UK,=20
> we will also be able to arrange accommodation, again subject to you
> meeting the eligibility conditions.
>
> Places are limited so please apply early by sending 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: Mon, 1 Mar 2010 10:13:15 +0000
> From: Chris Watton <[log in to unmask]>
> Subject: New contract opportunity
>
> Good morning
>
> A new opportunity has become available with a leading pharmaceutical
> organisation in Europe.=20
>
> My client is looking for an experienced clinical statistician with over 5=
>
> years professional experience to join their office in Switzerland or Belg=
> ium.
>
> This will be a 6-12 month contract with the potential of being extended o=
> r
> even going permanent.
>
> For further details please contact me directly on +44 (0) 1273 727930 or
> [log in to unmask]
>
> Kind regards
>
> Chris
>
> 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, 1 Mar 2010 11:12:45 +0000
> From: James Carrera <[log in to unmask]>
> Subject: SAS Oversight Programmer / Lead Programmer
>
> SAS Oversight Programmer / Lead Programmer
> South East, UK
>
> Job Summary:
>
> The oversight programmer's role is to oversee and lead validation of
> extern= al service providers / CRO's who develop reporting software for
> the efficac= y and safety data components for clinical trials for global
> projects and to= provide the data presentations specified using the
> developed software.
>
>
> Accountabilities/Responsibilities:
>
> a) The oversight of programmers who develop SAS programmes for the
> producti= on of statistical output for clinical trials (Tables, Listings
> and Figures)= ISS/ISE in order to meet regulatory requirements
> b) Oversight of the execution of SAS programmes for the production of
> stati= stical output for clinical trials (Tables, Listings and Figures)
> in order t= o meet regulatory requirements
> c) Input into clinical project documents to ensure that SAS programming
> nee= ds are addressed in a timely manner
> d) Ensure quality of SAS programmes and associated output via documented
> qu= ality checks
> e) Input into the development of data standards, reporting standards and
> gu= idelines to ensure efficient production of output
> f) Supervise functional service provider or offsite SAS statistical
> program= mers and, where applicable, contract staff
>
>
> Essential Skills & Capabilities:
>
> * BA/BS or equivalent experience in mathematics, statistics, computer
> scien= ce, life sciences or related field, or entry level MS
> Statistics/Computer S= cience.
> * Fluent English (oral and written).
> * Working knowledge of/ experience with SAS software. Specifically, MACRO
> l= anguage experience.
> * Intermediate knowledge of office tools.
> * At least 3-5 years of work experience in a programming role.
>
>
> Regards
>
> James Carrera
> Manager - Pharmaceutical, Healthcare & CRO Division
> Tel: +44 (0) 207 255 6665 [log in to unmask]
> Fax: +44 (0) 207 255 6656
>
> SEC Recruitment Limited is acting as an Employment Agency and /or
> Employmen= t Business
>
> SEC Recruitment Ltd Company registered in England and Wales No. 5808613 -
> R= egistered 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 an= d unauthorised use. The views of the author may not
> necessarily reflect tho= se of the Company. It is intended solely for the
> addressee, or the employee= or agent responsible for delivering such
> materials to the addressee. If yo= u have received this message in error
> please return it to the sender then d= elete the email and destroy any
> copies of it. If you are not the intended r= ecipient, any form of
> reproduction, dissemination, copying, disclosure, mod= ification,
> distribution and/or publication or any action taken or omitted t= o be
> taken in reliance upon this message or its attachments is prohibited a=
> nd 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 r= isk. All liability is excluded to the extent permitted
> by law for any claim= s 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.
>
> ------------------------------
>
> Date: Mon, 1 Mar 2010 12:25:21 +0000
> From: "Kells, Richard" <[log in to unmask]>
> Subject: COURSE REMINDER: Microarray R course at Imperial College
>
> COURSE REMINDER!!
> STATISTICAL MICROARRAY ANALYSIS USING R & BIOCONDUCTOR at Imperial
> College = London, during March 2010.
>
>
> Statistical Microarray Analysis Using R & Bioconductor
> Thur 11 & Fri 12 March (10 - 5pm)
>
> Cost: =A3390.
>
> (Unfortunately there are no further places available on the March
> Introduct= ion to R course)
>
> **Please note that we also provide courses in SPSS, Stata, Matlab,
> Clinical= Trials & R. Please contact 0207 594 3856 or
> [log in to unmask]<mailto= :[log in to unmask]> for further
> information**
>
> **We also provide STATISTICAL ADVICE on a one-to-one consultation basis.
> Pl= ease contact [log in to unmask]<mailto:[log in to unmask]>
> , or v= isit http://www3.imperial.ac.uk/stathelp for further details**
>
> For further information please contact Richard on 0207 594 3856 or
> stathelp= @imperial.ac.uk<mailto:[log in to unmask]> .
> Alternatively an application form and accompanying course outline can be
> do= wnloaded from our web-site: http://www3.imperial.ac.uk/stathelp
>
>
>
>
>
>
> 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, 1 Mar 2010 16:00:33 -0000
> From: Jonathan Hart-Smith <[log in to unmask]>
> Subject: Contract Statistics role in Switzerland - Up to CHF 900 /
> =?iso-8859-1?Q?=A3550_?= per day
>
> Hello Everybody
> =20
> I hope that this email finds you well? =20
> =20
> I am currently handling a 6 months + Contract with one of our clients =
> based in Switzerland. At a push the role could be based at their UK =
> office in South East England In Switzerland the rate equates to CHF 900 =
> per day which is approx =A3550 per day in the UK.
> =20
> The role will involve being responsible for scientific input into =
> projects and studies in both early and late phases of development =
> (Profiling and PK studies) and looking after the operational aspects of =
> the project, and for effective interactions with the project teams.
> =20
> You will provide operational oversight for all deliverables for assigned =
> projects and studies, including full responsibility for timelines and =
> quality standards. The scope of projects may include those in very early =
> phases of development leading up to a proof of concept (PoC), but also =
> the ED aspects of late phase projects and submissions.
> =20
> They are ideally looking for an experienced statistician with =
> Pharmaceutical industry expertise gained in either or both early or late =
> phase development.
> =20
> For a full job description or to discuss the role further, please =
> contact me on +44 (0) 1438743047 or email [log in to unmask]
> =20
> Thank you
> =20
> Jonathan
>
>
>
>
> Jonathan Hart-Smith=20
> Managing Director=20
>
> CK Clinical Limited=20
> 9 High Street=20
> Stevenage=20
> SG1 3BG=20
>
> DD: 0845 034 3082=20
> T: 01438 743047=20
> M: 07985 152216=20
> Internal: 2019=20
> F: 01438 723800=20
> W: www.ckclinical.co.uk=20
>
> Follow me on TWITTER. Username: CKClinical=20
>
>
> CONFIDENTIAL=20
> The information contained in this email and any attachment is =
> confidential.=20
> 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).=20
>
>
> =20
>
> 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, 1 Mar 2010 16:34:18 +0000
> From: Jenny Butterworth <[log in to unmask]>
> Subject: PSI Conference - Early Bird Deadline Reminder
>
> Dear Allstat
>
> This is a reminder that the early bird deadline for the PSI Conference is
> t= his Friday 5th March.
>
> This year's conference is taking place on 16th - 19th May at the Midland
> Ho= tel, Manchester.
>
> For more information and to register for the conference please go to -
> http= ://www.psiweb.org/conference
>
> If you have any queries please don't hesitate to contact the Executive
> Offi= ce on 01625 267882 or mailto:[log in to unmask]
>
> Kind Regards,
> PSI Executive Office
>
>
>
>
> =20
> Jenny Butterworth=20
> This electronic mail and any attachment(s) ("email") has been sent by
> Kings= ton Smith Association Management ("KSAM") which is a division of
> Kingston S= mith Services Limited ("KSSL") and is confidential and may be
> legally privi= leged. Please notify the sender immediately if you are not
> the intended rec= ipient, delete it and do not disclose, distribute,
> copy, use or act upon it= . Contracts by email can only be made by a
> director of KSSL. Unless express= ly stated, this is not nor is it
> intended to be a financial promotion and i= t is not an invitation,
> inducement (direct or indirect) or personal recomme= ndation to engage in
> investment activity. WARNING: whilst KSAM has taken pr= ecautions to
> ensure no viruses are present the recipient should check this = email for
> viruses. KSSL is registered in England and Wales (registered numb= er
> 02217488) with its registered office at Devonshire House, 60 Goswell Roa=
> d, London EC1M 7AD KSAM may be contacted at UK Tel: +44 (0) 1727 896000
> Fax= : +44 (0) 1727 896001
> P Consider the environment; please don't print this email unless you
> really= need to.
> =20
>
> You may leave the list at any time by sending the command
>
> SIGNOFF allstat
>
> to [log in to unmask], leaving the subject line blank.
>
> ------------------------------
>
> End of allstat Digest - 28 Feb 2010 to 1 Mar 2010 (#2010-58)
> ************************************************************
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