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Multistate models for the analysis of life history data

By: Cook, Richard J.
Contributor(s): Lawless, Jerald F.
Material type: materialTypeLabelBookSeries: Monographs on statistics and applied probability. Publisher: London CRC Press 2018Description: xxvi, 414 p. With index.ISBN: 9781498715607.Subject(s): Vital statistics | Research methodology | Life change events - Statistical methodsDDC classification: 001.433 Summary: 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. 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 https://www.crcpress.com/Multistate-Models-for-the-Analysis-of-Life-History-Data/Cook-Lawless/p/book/9781498715607
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Non-fiction 001.433 C6M8 (Browse shelf) Available 198245

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.

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

https://www.crcpress.com/Multistate-Models-for-the-Analysis-of-Life-History-Data/Cook-Lawless/p/book/9781498715607

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