MIXED MODELS ANALYSIS OF MEDICAL DATA USING SAS
Edinburgh, 1-3 October 2008
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 Emeritus Professor of Health Technology Assessment
at the University of Edinburgh. Previously he was Director of the
Medical Statistics Unit at the University. 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 Senior Research Fellow at the University of Edinburgh
and has a research interest in the use of mixed models in medicine.
She has twenty five years of practical experience as a statistician
and has been employed within academia, the health service and 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:
http://www.lifelong.ed.ac.uk/cpd/courses/medicine?Course=K1565.
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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