Multistate Models for the Analysis of Life History Data

This book will describe a variety of statistical models useful for the analysis of data arising from life history processes. Particular attention will be paid to models useful for the study of chronic diseases to better understand the dynamics of the disease process, the effects of fixed and time-varying covariates, and the use of models for prediction. Observation of the full course of processes for individuals in a study is typically incomplete, so methods of analysis must address this. This book will cover methods for analysis when process data are right -censored, left-truncated or intervalcensored.