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.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Tags: Course, Advanced, Advanced Analytics, SAS/STAT, SAS/GRAPH, Statistics Foundations
* 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. Introduction to Bayesian Analysis * Introduce the basic concepts of Bayesian analysis. * Compute the diagnostic plots and diagnostic statistics for model assessment. * Discuss the advantages and disadvantages of Bayesian analysis. * Illustrate a Bayesian an...