Multi-State Models with Error-Prone Data

Multi-state stochastic models are closely related to survival and longitudinal data analysis. They may be used to describe survival data from a perspective different from what is discussed in Chapter 3 They also provide a useful framework for analyzing longitudinal data when interest lies in dynamic aspects of the underlying process.

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