Bayesian proportional hazards model for a stepped-wedge design

We’ve finally reached the end of the road. This is the fifth and last post in a series building up to a Bayesian proportional hazards model for analyzing a stepped-wedge cluster-randomized trial. If you are just joining in, you may want to start at the beginning . The model presented here integrates non-linear time trends and cluster-specific random effects—elements we’ve previously explored in…