The Statistical Analysis of Interval-censored Failure Time Data - Couverture souple

Livre 21 sur 69: Statistics for Biology and Health

Sun, Jianguo

9781441921925: The Statistical Analysis of Interval-censored Failure Time Data

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ISBN 10 : 1441921923 ISBN 13 : 9781441921925

Editeur : Springer, 2010

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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. It can also be used as a text for a graduate course in statistics or biostatistics. It assumes a basic knowledge of probability and statistics.

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�diteur: Springer
Date d'�dition: 2010
Langue: anglais
ISBN 10: 1441921923
ISBN 13: 9781441921925
Reliure: Broch�
Nombre de pages: 320
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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9780387329055: The Statistical Analysis of Interval-Censored Failure Time Data

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The Statistical Analysis of Interval-censored Failure Time Data

Jianguo Sun

Edit� par Springer New York Nov 2010, 2010

ISBN 10 : 1441921923 ISBN 13 : 9781441921925

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 320 pp. Englisch. N� de r�f. du vendeur 9781441921925

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The Statistical Analysis of Interval-censored Failure Time Data (Statistics for Biology and Health)

Sun, Jianguo

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The Statistical Analysis of Interval-censored Failure Time Data (Statistics for Biology and Health)

Sun, Jianguo

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The Statistical Analysis of Interval-censored Failure Time Data

Jianguo Sun

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is dedicated to models and methods specifically developed for interval-censored failure time dataThis book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the . N� de r�f. du vendeur 4172722

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The Statistical Analysis of Interval-censored Failure Time Data

Jianguo Sun

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The Statistical Analysis of Interval-censored Failure Time Data

Jianguo Sun

Edit� par Springer New York, Springer New York Nov 2010, 2010

ISBN 10 : 1441921923 ISBN 13 : 9781441921925

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Survival analysis, the analysis of failure time data, is a rapid developing area and a number of books on the topic have been published in last twenty-five years. However, all of these books deal with right-censored failure time data, not the analysis of interval-censored failure time data. Interval-censored data include right-censored data as a special case and occur in many fields. The analysis of interval-censored data is much more difficult than that of right-censored data because the censoring mechanism that yields interval censoring is more complicated than that for right censoring.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. A number of inference approaches are discussed in the book, including the maximum likelihood, estimating equations, sieve maximum likelihood, and conditional likelihood. One major difference between the analyses of right- and interval-censored data is that the theory of counting processes, which is responsible for substantial advances in the theory and development of modern statistical methods for right-censored data, is not applicable to interval-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. In addition, Bayesian methods and the analysis of interval-censored data with informative interval censoring are considered as well as the analysis of interval-censored recurrent event, or panel count, data.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. It can also be used as a text for a graduate course in statistics or biostatistics that assume a basic knowledge of probability and statistics.Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri-Columbia. He has developed novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last fifteen years.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch. N� de r�f. du vendeur 9781441921925

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The Statistical Analysis of Interval-censored Failure Time Data

Jianguo Sun

Edit� par Springer New York, 2010

ISBN 10 : 1441921923 ISBN 13 : 9781441921925

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Survival analysis, the analysis of failure time data, is a rapid developing area and a number of books on the topic have been published in last twenty-five years. However, all of these books deal with right-censored failure time data, not the analysis of interval-censored failure time data. Interval-censored data include right-censored data as a special case and occur in many fields. The analysis of interval-censored data is much more difficult than that of right-censored data because the censoring mechanism that yields interval censoring is more complicated than that for right censoring. 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. A number of inference approaches are discussed in the book, including the maximum likelihood, estimating equations, sieve maximum likelihood, and conditional likelihood. One major difference between the analyses of right- and interval-censored data is that the theory of counting processes, which is responsible for substantial advances in the theory and development of modern statistical methods for right-censored data, is not applicable to interval-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. In addition, Bayesian methods and the analysis of interval-censored data with informative interval censoring are considered as well as the analysis of interval-censored recurrent event, or panel count, data. 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. It can also be used as a text for a graduate course in statistics or biostatistics that assume a basic knowledge of probability and statistics.Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri-Columbia. He has developed novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last fifteen years. N� de r�f. du vendeur 9781441921925

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