The course focuses on Bayesian analyses using the PHREG, GENMOD, and MCMC procedures. The examples include logistic regression, Cox proportional hazards model, general linear mixed model, zero-inflated Poisson model, and data containing missing values. A Bayesian analysis of a crossover design and a meta-analysis are also shown.
Learn how to
- explain the concepts of Bayesian analysis
- illustrate Bayesian analyses in PROC GENMOD, PROC PHREG and PROC MCMC
- incorporate prior distributions in a Bayesian analysis
- illustrate a Bayesian analysis approach to a meta-analysis.
Who should attend
Biostatisticians, epidemiologists, and social scientists who are interested in the Bayesian analysis approach
Formats available | Duration | | |
Classroom: |
2.0 days | | |
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Before attending this course, you should
This course addresses SAS/STAT software.
This course is offered on the Windows platform only using SAS/STAT 14.2.