The Statistical Analysis of Interval-censored Failure Time Data

Language: English

Published by Springer, Springer, 2010

1441921923 / 9781441921925

Series: Book 21 of 69 - Statistics for Biology and Health

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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.

Seller Inventory # 9781441921925

Title
The Statistical Analysis of Interval-censored Failure Time Data
Author
Jianguo Sun
Publisher
Springer, Springer
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1441921923
ISBN 13
9781441921925
Item weight
487 grams
Dimensions
235x155x18 mm
Series
Book 21 of 69: Statistics for Biology and Health

AHA-BUCH GmbH

Einbeck, Germany

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