The Statistical Analysis of Interval-censored Failure Time Data
Jianguo Sun
ISBN 10: 1441921923 ISBN 13: 9781441921925
Verlag: Springer, 2010
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Beschreibung
Beschreibung:
The Statistical Analysis of Interval-censored Failure Time Data | Jianguo Sun | Taschenbuch | Statistics for Biology and Health | xvi | Englisch | 2010 | Springer | EAN 9781441921925 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 107207298
Inhaltsangabe:
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.
Über die Autorin bzw. den Autor: Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri. He obtained his Ph.D. at the University of Waterloo and has been developing novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last 20 years. In particular, he published "The Statistical Analysis of Interval-censored Failure Time Data" (Springer, 2006), the first book on interval-censored data. He also co-authored with Drs. Chen and Peace the volume "Interval-censored Time-to-Event Data: Methods and Applications" (Chapman and Hall, 2012). Xingqiu Zhao is a faculty member of The Hong Kong Polytechnic University and she obtained her Ph.D. at McMaster University. Her research interests include econometrics, financial mathematics, longitudinal data analysis, stochastic process models and applications, survival analysis, and time series analysis. In particular, she has published many papers on new statistical inference procedures for analyzing interval-censored failure time data, recurrent event data and panel count data.
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Bibliografische Details
Titel: The Statistical Analysis of ...
Verlag: Springer
Erscheinungsdatum: 2010
Einband: Taschenbuch
Zustand: Neu