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.
Thank you for your interest.
Please fill out the form below to download the course materials. Or you can download here.
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