AQMeN - Applied Quantitative Methods Network

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.

Location: 
Edinburgh
Date: 
7 March 2011 (All day) - 9 March 2011 (All day)
Organiser: 
Office of Lifelong Learning, University of Edinburgh
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