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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.
- Introduction
- Inference For Parametric Models And Imputation Approaches
- Nonparametric Maximum Likelihood Estimation
- Comparison of Survival Functions
- Regression Analysis of Current Status Data
- Regression Analysis of Case II Interval-Censored Data
- Analysis of Bivariate Interval-Censored Data
- Analysis of A Doubly Censored Data
- Analysis of Panel Count Data
- Other Topics
Interval-censored data, where one does not observe the exact times of events of interest [...] but only that they occur in certain intervals [...] . This is the first book to summarize the substantial body of recent work in this field. [...] The book includes a number of applications, with full sets of data provided. Algorithms for fitting the various models presented are described carefully in the text and there is a short section discussing available statistical software [...] .
- D. Oakes, Short Book Reviews, Vol. 26 (3), 2006
"...this book is to be recommended to scientists in the field of survival analysis, and in particular to those researchers in interval-censored data, as an up-to-date reference in frequentist approaches...the book might be also useful to practitioners from other disciplines who can find in this text the suitable methods to analyze interval-censored data."
- Robert G. McLeod frorm Biometrics, Issue 63, September 2007
"This is the first book that provides a comprehensive summary of important topics in the field; therefore, there is no doubt that this book represents an important contribution to the literature. [...] In summary, this book is good news for those interested in an overview of interval-censored data. [...] This book offers a well-written and comprehensive summary. I enjoyed reading it and feel that it provides an excellent guide to this important area. It will definitely be kept on my shelf for reference."
- Do-Hwan Park, Journal of the American Statistical Association, Vol. 102 (480), 2007
"This book is a survey of statistical analysis tools for interval-censored data which occur rather frequently in various empirical sciences, e.g., in demography, epidemiology, finance, medicine or sociology. [...] This volume is adequate for self-study for researchers and students who want to handle and analyze interval-censored data."
- Christina Wunder, Zentralblatt MATH, Vol. 1127 (4), 2008
