Module date/time: Friday, July 27, 8:30 a.m.-5 p.m.

In this module, we discuss Bayesian hierarchical modeling and general computational methods for Bayesian estimation of hierarchical models. We apply hierarchical models to some biomedical problems including diagnostic testing in the absence of a gold standard, meta-analyses, and mixed treatment comparisons, among others.

We use INLA, JAGS and a number of R packages to illustrate the application of Bayesian methods to analyze dependent data.

Pre-requisites: Module 15: Bayesian Methods for Clinical Research: Introduction or other first course on Bayesian statistics; familiarity with R/RStudio.

Access 2017 Course Materials (2018 materials will be uploaded to this page prior to the start of the module)