Multi-State Survival Models for Interval-Censored Data

Multi-state models describe stochastic processes that consist of transitions between states over time, such as the three-state illness-death model. Interval-censored data is extremely common as the exact time of transition from one state to another is unknown―only an interval of time is known. This book shows how to study this type of data. Many examples using real data from the medical and social science literature illustrate the methods. R and WinBUGS code is also provided to implement the methods, with the code and data available for download online.

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