Survival Analysis with Interval-Censored Data: A Practical Approach with R, SAS and WinBUGS

Overview

This book describes methods and software implementations for the analysis of interval-censored data. The authors present the theoretical background for all methods and apply the methods to real data sets. They also provide the R, SAS, and WinBUGS code for all the examples, enabling readers to modify the code and use the methods to solve their own practical problems. In addition, most of the data sets used in the text are available online.

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Overview

This book describes methods and software implementations for the analysis of interval-censored data. The authors present the theoretical background for all methods and apply the methods to real data sets. They also provide the R, SAS, and WinBUGS code for all the examples, enabling readers to modify the code and use the methods to solve their own practical problems. In addition, most of the data sets used in the text are available online.

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Table of Contents

Introduction. Inference for Right-Censored Data. Estimation of the Survival Distribution. Comparison of Two or More Survival Distributions. Proportional Hazard Model. Accelerated Failure Time Model. Bivariate Interval-Censored Data. More Complex Problems. Other Topics in Interval Censoring.

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