There are still a few places left on the course below.
MIXED MODELS ANALYSIS OF MEDICAL DATA USING SAS
Edinburgh, 24th - 26th April 2006
Course content:
This course will cover the statistical background to the mixed model and will
emphasise its practical application in medical data with particular reference
to clinical trials. All analyses will be illustrated using SAS and lectures
will be combined with practical sessions in order to reinforce
concepts. Topics
covered include:
Day 1
? General concepts and underlying statistical theory
? Use and interpretation of PROC MIXED
? Multi-centre trials and meta-analysis
? Consideration of issues such as biased standard errors, significance testing
and negative variance components.
Day 2
? Repeated measures trials
? Random coefficients models
? Crossover trials
? More complex trial designs
? Introduction to Bayesian methods.
Day 3
? Generalised linear mixed models
? Mixed models for ordinal data
? Use and interpretation of PROC GENMOD and PROC GLIMMIX
Who should attend:
This course is directed at medical statisticians who wish to understand the
statistical background to mixed models and to carry out analyses using SAS.
Why attend:
Conventionally, clinical data is analysed using fixed effects models. However,
benefits can often be gained by using a mixed model. For example: in repeated
measures trials full allowance can be made for the correlation occurring
between the repeated observations even if data are missing; in multicentre
trials or meta analyses treatment standard errors are more appropriately based
on between centre/trial variation (fixed effects standard errors are based on
within centre/trial variation); in crossover trials more accurate treatment
means are often achieved by combining within and between patient estimates.
Suitable procedures are now readily available for fitting these models well
known packages such as SAS. This has led widespread application and knowledge
of mixed models becoming essential for medical statisticians. As with any
statistical technique a firm understanding of the theoretical background is
essential to allow its effective application and to obtain a clear
interpretation of results.
Course fees:
Standard rate £850
Registered charities/academic institutions £650
Fees include daily morning coffee, lunch, afternoon tea, a course dinner and a
delegate?s pack including full course notes.
The speakers:
Robin Prescott is Director of the Medical Statistics Unit of The University of
Edinburgh and is Professor of Health Technology Assessment. He has been
working
in the medical field for over thirty years and has a particular interest in
cross-over trials. He has wide experience of multi-centre trials and of
working
with the pharmaceutical industry.
Helen Brown is a Principal Statistician for the NHS in Scotland. She has over
twenty years of practical experience as a statistician including five spent in
the pharmaceutical industry.
The speakers are the authors of Applied Mixed Models in Medicine, in the John
Wiley Statistics in Practice series.
Venue:
The course will take place in the Holiday Inn, Edinburgh-North, one mile from
the city centre and easily accessible from the main railway station
and airport.
Accommodation:
Course participants have the opportunity to stay at the Holiday Inn,
Edinburgh-North at a reduced rate. All bedrooms in the hotel have modem
points.
For further information please contact the Reservations department on 0131 332
2442 quoting University of Edinburgh. Alternatively please contact our
accommodation agency: Murray Accommodation, telephone 08707 509808, or visit
www.murray-accommodation.co.uk
Further information:
Please email [log in to unmask] or call +44 (131) 651 1180 for further
information. Alternatively you can book online at:
www.lifelong.ed.ac.uk/cpd/courses.
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