> Would you like to brush up your knowledge on methodological issues in
> analysing pharmaceutical and medical data?
> Do you want to find out more about software packages used by statisticians
> and researchers in the pharmaceutical and medical worlds?
> Have a look below at the courses on pharmaceutical and medical statistics
> currently on offer from the RSS's Professional Development Centre. Full
> details are available at www.rss.org.uk/courses
> <http://www.rss.org.uk/courses> . New courses are being added to the
> programme monthly.
>
> ***** RSS Professional Development Centre - Training Courses *****
>
> Introduction to Pharmacokinetics, Alwyn Pidgen, 13th November 2007
> This is an introductory course in Pharmacokinetics & Clinical
> Pharmacology. The main focus is placed upon understanding the key
> pharmacokinetic concepts & principles and their application within
> Pharmaceutical Research. Following a short introduction, the areas of
> Absorption, Distribution & Elimination are explained in detail. Key
> pharmacokinetic parameters relating to these areas are then explained &
> derived. Both the model dependent & model independent approaches to
> parameter estimation are discussed. Examples are presented. The course
> finishes with a practical look at the application of pharmacokinetics
> within a clinical context.
> The Statistical Evaluation of Surrogate Endpoints, Geert Molenberghs, 16th
> November 2007
> The course will present an overview of the developments in surrogate
> market evaluation, with illustrations predominantly from the fields of
> opthalmology, oncology and mental health. It combines applied and
> methodological aspects, but is not deeply theoretical. The following book
> is useful, but not mandatory reading: Burzykowski, T., Molenberghs, G. and
> Buyse, M. (2005). The Evaluation of Surrogate Endpoints. New York:
> Springer. This course is suitable for Biostatisticians and related
> professionals with an interest in clinical trial methodology, working
> academe, industry and the regulatory authorities.
> SPC for NHS Consultants and Clinical Directors, Dr. Shirley Coleman & Dr
> Peter Worthington, 29th November 2007
> Consultants and clinical directors are being asked to continuosly improve
> the quality, timeless and cost of services to patients. Data are available
> but the main difficulty clinicians report is accessing data in the correct
> format to statistically demonstrate improvement or worsening of services.
> Clinicians are trained in comparative statistical methods with which, for
> example, to compare populations in clincial trials. However comparative
> methods are not helpful when monitoring the performance of a clincial
> process or service over time. This course has been awarded 5 non clinical
> external credits by the Royal College of Physicians.
>
> Questionnaire Design, Dr. Pamela Campanelli, 10th December 2007
> Through looking at a wide range of pitfalls, this course explores ways to
> assess the effectiveness of existing questionnaires as well as how to
> write successful new questionnaires. It brings together key points from
> the research literature on questionnaire design and addresses practical
> concerns. Common errors in the wording of individual questions are
> discussed as well as how to combine individual questions into a meaningful
> questionnaire. Also covered are the special concerns faced in writing
> questions for interview surveys versus self-completion surveys.
> An Introduction to Stata, Timothy Collier, 13th December 2007
> This one-day course aims to give a basic introduction to Stata for people
> with no previous experience of Stata but who wish to go on to use it for
> research purposes. This course will introduce the Stata working
> environment, demonstrate how to load data from a variety of sources (e.g.
> Excel) and then teach the fundamentals of data checking, processing and
> management.
> Write Clearly: Write to be Understood, Tony Greenfield, 28-29 January 2008
> Do you write about your work to show how clever you are? Or do you write
> about your work because you want to tell people about something that will
> interest them, and perhaps help them? Do you write only for academic
> journals in your own discipline, or do you write for the wider population
> of scientists and engineers, or even for the general population? In this
> hands-on workshop we shall discuss the writing of research work for
> different media and for different readerships. It provides the opportunity
> to discuss and develop your current work, as delegates are encouraged to
> send in or bring along a current article to work on with the presenter.
> An Introduction to S-Plus and R, Andrew Jack, 31st January 2008
> This one-day course aims to give a basic introduction to S-Plus and R for
> people with no or little previous experience. The course will introduce
> the S-Plus and R working environment, demonstrate how to load data from a
> variety of sources (e.g.Excel) and then teach the basics of data
> manipulation, visualisation and analysis in R and S-Plus. The course will
> focus on the programming language only, and not the graphical user
> interface.
> Bayesian Adaptive Designs, Andy Grieve and Mike K Smith, 15 January 2008
> This course serves as an introduction to the field of Bayesian Adaptive
> Designs. Attendees will learn where these designs fit into the class of
> data-dependent designs in which decisions about the conduct of the trial
> depending on accumulating data. The course covers many of the available
> Bayesian adaptive designs and the emphasis of the course is firmly on the
> practical aspects rather than on underlying theory and philosophy of
> Bayesian statistics.
> Missing Data, James Carpenter & Mike Kenward, 4-5 February 2008
> The aims of this workshop are to help participants: develop an
> appreciation of the issues that arise when data are missing and explain
> common jargon; develop an intuition for the shortcomings of simple
> methods for coping with missing data; develop an intuition for direct
> model-based, multiple imputation-based and weighting approaches for the
> analysis of partially observed data, and explore software that implements
> these methods; understand the importance of sensitivity analysis and how
> it can be carried out; learn from each other by discussing their
> experiences. This workshop is for applied statisticians from most
> background (e.g. medical, social science), statistically able researchers
> (e.g. epidemiologists, social scientists, economists).
> Meta Analysis, Stephen Senn, 28-29 February 2008
> The course will be invaluable for all those involved in meta-analysis of
> pharmaceuticals, whether as consumer or producer, or working for sponsor,
> regulator, contract research organisation or academia.
> Basic Medical Statistics, Nicola Bright, February 2008
> This course looks at the fundamentals of statistics in a medical setting
> to enable researchers to understand the statistics they read in research
> papers. Statistical concepts will be introduced through real examples
> taken from the medical literature. Extracts from papers will be discussed
> and interpreted. Delegates are encouraged to bring a paper that they are
> studying and have queries over to the open discussion at the end. This
> workshop is for those in professions allied to medicine such as nurses,
> midwives, occupational therapists, physiotherapists and radiologists who
> wish to have a greater understanding of the statistics printed in journal
> papers.
> Medical Statistics Revision, Nicoa Bright, March 2008
> This course revises the fundamentals of statistics in a medical setting to
> enable doctors to understand the statistics they read in research papers.
> Statistical concepts will be introduced through real examples taken from
> the medical literature. Extracts from papers will be discussed and
> interpreted. This workshop is for junior doctors looking for a revision
> course in basic statistics.
> Presenting Skills, Peter English, March 2008
> This one-day course is for those who would like to learn more about
> structuring, planning and presenting information orally. Delegates learn
> how to present complex material in a way that aids the audience's
> understanding, reduce their anxiety levels and use Microsoft PowerPoint to
> best effect. The course is designed to complement the RSS 'Presenting
> Data' course by covering more general presentation skills. This course is
> for statisticians, managers and researchers who are expected to deliver
> presentations, and who would like to be more polished and confident in
> doing so.
> Multilevel Modelling, Harvey Goldstein & Fiona Steele, 19-20 May 2008
> This course is designed to give participants a solid grounding in the
> theory and application of multilevel models. The course will be based
> around theoretical sessions followed by "hands on" practical sessions
> illustrating the theoretical concepts. The hands on sessions will use the
> MLwiN software package. This course is for statisticians and quantitative
> researchers with an interest in the analysis of hierarchically structured
> data. Previous participants have included university researchers from the
> social sciences, medicine and public health, and government statisticians
> (e.g. DfES, Home Office, ONS). The course will not assume a high level of
> statistical knowledge, but participants should be familiar with the
> application and interpretation of multiple regression analysis.
> Basic Statistics for Professions Allied to Medicine, David Boniface,
> September 2008
> This two-day hands-on workshop assumes no prior knowledge of statistics
> and is designed for researchers who want to learn, review and develop
> their skills to choose understand and use appropriate methods for
> analysing their data. Stata would be used.
> Cointegration Models in Statistics and Econometrics, Robert Sollis,
> September 2008
> This advanced level short course deals with the econometric modelling of
> cointegrated time series. The course focuses in detail on both the
> Engle-Granger approach to modelling cointegrated time series and the
> Johansen vector-based approach. Testing for cointegration will be
> comprehensively discussed. Recent extensions including nonlinear
> cointegration models and cointegration in the presence of structural
> breaks will also be covered.
> Relevant statistical theory so as to fully understand the concept of
> cointegration will be explained, however the course will also focus on how
> to apply cointegration models to actual data and numerous empirical
> examples will be used throughout. Many of these will be from economics
> and finance although examples from other subject areas will be used.
> Please visit www.rss.org.uk/courses <www.rss.org.uk/courses> to register
> or to obtain further details of courses available by the RSS Professional
> Development Centre.
>
> We look forward to receiving your registrations.
>
> Kind regards
>
> Ali Houghton
> RSS Training Co-ordinator
>
> RSS Professional Development Centre
> Tel: +44 (0)1625 504067 Fax: +44 (0)1625 267879
>
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