Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

Abstract

Bayesian methods for the detection of differences in rates of outcomes for multiple treatments for clustered observations. This software was developed for the Risk Prediction in Pharmaco-epidemiology project as part of a Rutherford Fund Fellowship at Health Data Research UK, Scotland.

Authors

• Raymond Carragher