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Survival Analysis with Interval-Censored Data

A Practical Approach with R, SAS and BUGS

By Kris Bogaerts, Arnost Komarek, Emmanuel Lesaffre

Chapman and Hall/CRC – 2015 – 325 pages

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Purchasing Options:

  • Hardback: $79.95
    978-1-42-007747-6
    October 26th 2015
    Not yet available

Description

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.

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.

Name: Survival Analysis with Interval-Censored Data: A Practical Approach with R, SAS and BUGS (Hardback)Chapman and Hall/CRC 
Description: By Kris Bogaerts, Arnost Komarek, Emmanuel Lesaffre. 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...
Categories: Statistics for the Biological Sciences, Statistical Theory & Methods, Epidemiology