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Interval-censored time-to-event data...

Chen, Ding-Geng.

Interval-censored time-to-event data :methods and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Interval-censored time-to-event data :edited by Ding-Geng (Din) Chen, Jianguo Sun, Karl E. Peace.
Reminder of title:	methods and applications /
other author:	Chen, Ding-Geng.
Published:	Boca Raton, FL :CRC Press,c2013.
Description:	xxviii, 405 p. :ill. ;24 cm.
Notes:	"A Chapman & Hall book."
Subject:	Clinical trialsStatistical methods.
Online resource:	http://jacketsearch.tandf.co.uk/common/jackets/covers/websmall/978146650/9781466504257.jpg
ISBN:	9781466504257 (hbk. : alk. paper) :

Interval-censored time-to-event data :methods and applications /
Interval-censored time-to-event data :methods and applications /edited by Ding-Geng (Din) Chen, Jianguo Sun, Karl E. Peace. - Boca Raton, FL :CRC Press,c2013. - xxviii, 405 p. :ill. ;24 cm. - Chapman & Hall/CRC biostatistics series.

"A Chapman & Hall book."

Includes bibliographical references and index.

"Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introduction and overview of time-to-event methods for interval-censored data. Methodology is presented in Part II. Applications and related software appear in Part III. Part I consists of two chapters. In Chapter 1, Sun and Li present an overview of recent developments, with attention to nonparametric estimation and comparison of survival functions, regression analysis, analysis of multivariate clustered- and analysis of competing risks interval-censored data. In Chapter 2, Yu and Hsu provide a review of models for interval-censored (IC) data, including: independent interval censorship models, the full likelihood model, various models for C1, C2, and MIC data as well as multivariate IC models. Part II consists of seven chapters (3-9). Chapters 3, 4 and 5 deal with interval-censored methods for current status data. In Chapter 3, Banerjee presents: likelihood based inference, more general forms of interval censoring, competing risks, smoothed estimators, inference on a grid, outcome misclassi- cation, and semiparametric models. In Chapter 4, Zhang presents regression analyses using the proportional hazards model, the proportional odds model, and a linear transformation model, as well as considering bivariate current status data with the proportional odds model. In Chapter 5, Kim, Kim, Nam and Kim develop statistical analysis methods for dependent current status data and utilize the R Package CSD to analyze such data"--

ISBN: 9781466504257 (hbk. : alk. paper) :NT$2988

LCCN: 2012014572Subjects--Topical Terms:

181899
Clinical trials
--Statistical methods.

LC Class. No.: QA276 / .I58 2013

Dewey Class. No.: 519.5

Interval-censored time-to-event data :methods and applications /
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245 0 0 $a Interval-censored time-to-event data : $b methods and applications / $c edited by Ding-Geng (Din) Chen, Jianguo Sun, Karl E. Peace.
260 $a Boca Raton, FL : $b CRC Press, $c c2013.
300 $a xxviii, 405 p. : $b ill. ; $c 24 cm.
490 0 $a Chapman & Hall/CRC biostatistics series
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a "Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introduction and overview of time-to-event methods for interval-censored data. Methodology is presented in Part II. Applications and related software appear in Part III. Part I consists of two chapters. In Chapter 1, Sun and Li present an overview of recent developments, with attention to nonparametric estimation and comparison of survival functions, regression analysis, analysis of multivariate clustered- and analysis of competing risks interval-censored data. In Chapter 2, Yu and Hsu provide a review of models for interval-censored (IC) data, including: independent interval censorship models, the full likelihood model, various models for C1, C2, and MIC data as well as multivariate IC models. Part II consists of seven chapters (3-9). Chapters 3, 4 and 5 deal with interval-censored methods for current status data. In Chapter 3, Banerjee presents: likelihood based inference, more general forms of interval censoring, competing risks, smoothed estimators, inference on a grid, outcome misclassi- cation, and semiparametric models. In Chapter 4, Zhang presents regression analyses using the proportional hazards model, the proportional odds model, and a linear transformation model, as well as considering bivariate current status data with the proportional odds model. In Chapter 5, Kim, Kim, Nam and Kim develop statistical analysis methods for dependent current status data and utilize the R Package CSD to analyze such data"-- $c Provided by publisher.
650 0 $a Clinical trials $x Statistical methods. $3 181899
650 0 $a Failure time data analysis. $3 182533
650 0 $a Survival analysis (Biometry) $3 182534
700 1 $a Chen, Ding-Geng. $3 487343
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700 1 $a Sun, Jianguo, $d 1961- $3 669505
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