Mixed Models Analysis of Medical Data Using SAS
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
Note the practical sessions will focus on constructing models and interpreting results using PROC MIXED output, and will not be ‘hands-on’.
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.
Further information is available Online.
Contact: Bob Carr bob.carr@ed.ac.uk, tel 0131 651 1821.


