Suchergebnisse

Introduction to life history processes and multistate models -- Event history processes and multistate models -- Multistate analysis based on continuous observation -- Some examples of analysis with multistate models -- Studies with intermittent observation of individuals -- Heterogeneity and dependence in multistate processes -- Process-dependent sampling schemes -- Additional topics -- Appendix A Selected software packages -- Appendix B Simulation of multistate processes -- Appendix C Code and output for illustrative analyses -- D Mechanical ventilation in an intensive care unit -- Bibliography -- Index

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. --