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.

Inhalt
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 Doubly Censored Data.- Analysis of Panel Count Data.- Other Topics.