Multistate models for the analysis of life history data
著者
書誌事項
Multistate models for the analysis of life history data
（Monographs on statistics and applied probability, 158）
CRC Press, c2018
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注記
"A Chapman & Hall Book"
Includes bibliographical references (p. 369-392) and indexes
内容説明・目次
内容説明
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. It features: Discusses a wide range of applications of multistate models, Presents methods for both continuously and intermittently observed life history processes, Gives a thorough discussion of conditionally independent censoring and observation processes, Discusses models with random effects and joint models for two or more multistate processes, Discusses and illustrates software for multistate analysis that is available in R, Target audience includes those engaged in research and applications involving multistate models.
目次
1. Introduction to Life History Processes and Multistate Models. 2. Event History Processes and Multistate Models. 3. Multistate Analysis Based on Continuous Observation. 4. Some examples of analysis with multistate models. 5. Studies with Intermittent Observation of Individuals. 6. Heterogeneity and Dependence in Multistate Processes. 7. Process-dependent Sampling Schemes. 8. Additional Topics.
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