The Statistical Analysis of Interval-censored Failure Time Data

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This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic and complements the books on right-censored data.
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Introduction.- Inference For Parametric Models And Imputation Approaches.- Nonparametric Maximum Likelihood Estimation.- Comparison of Survival Functions.- Regression Analysis of Current Status Data.- Regression Analysis of Case II Interval-Censored Data.- Analysis of Bivariate Interval-Censored Data.- Analysis of A Doubly Censored Data.- Analysis of Panel Count Data.- Other Topics.
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.

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Autor: Jianguo Sun
ISBN-13 :: 9781441921925
ISBN: 1441921923
Erscheinungsjahr: 29.11.2010
Verlag: Springer New York
Gewicht: 485g
Seiten: 320
Sprache: Englisch
Auflage Softcover reprint of hardcover 1st ed. 2006
Sonstiges: Taschenbuch, 235x155x17 mm
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