The Statistical Analysis of Interval-censored Failure Time Data

The Statistical Analysis of Interval-censored Failure Time Data
Author: Jianguo Sun
Publisher: Springer
Total Pages: 310
Release: 2007-05-26
Genre: Mathematics
ISBN: 0387371192


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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 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.


The Statistical Analysis of Interval-censored Failure Time Data
Language: en
Pages: 310
Authors: Jianguo Sun
Categories: Mathematics
Type: BOOK - Published: 2007-05-26 - Publisher: Springer

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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 c
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Type: BOOK - Published: 2012-07-19 - Publisher: CRC Press

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Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-t
Survival Analysis with Interval-Censored Data
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Type: BOOK - Published: 2017-11-20 - Publisher: CRC Press

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Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the
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Pages: 283
Authors: Jianguo Sun
Categories: Medical
Type: BOOK - Published: 2013-10-09 - Publisher: Springer Science & Business Media

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Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By rec
Survival Analysis
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Pages: 508
Authors: John P. Klein
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Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques ava