At the thirteenth annual American Conference on Pharmacometrics (ACoP13), I gave a presentation that was an introduction/overview of joint models of longitudinal and time to event data. The slides from the talk can be downloaded here: acop4b-overview

Since joint modeling is the basis of many models used for pharmacometric applications, the intent of these slides was to give some of the general concepts together with multiple references for someone to get started if they are interested in learning more about this class of joint models. Some of the content is taken from other presentations and I have tried to make sure the original source is cited in all cases.

The general structure of the slides is:

1. What is Joint Modeling of longitudinal and time to event data
2. How do we develop joint models.
3. Stepwise versus simultaneous estimation
4. Bayesian Joint Models
5. Applications of Joint Models with directions to stan code
6. Additional

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