MI255: Exposure-Response Modeling of Categorical, Count, and Time-to-Event Data Using Bayesian Methods

MI255 is an intensive course providing an introduction to modeling of categorical, count, and time-to-event data, and the practical use of WinBUGS and NONMEM® for such applications. The course provides some basic theory and illustrates some of the advantages of using Bayesian methods for these types of data sets.