Introduction

The book "Survival Analysis with Interval-Censored Data: A Practical Approach with examples in R, SAS, and BUGS" by K. Bogaerts, A. Komarek and E. Lesaffre uses several data sets to illustrate different analysis methods. On this page you find the data, programs and other supplemental materials mentioned in the book.

Data Sets

1. Homograft study (description, SAS)
2. Breast cancer study (description, SAS)
3. AIDS clinical trial (description, SAS)
4. Sensory shelf life study (description, SAS)
5. Survey on mobile phone purchases (description, SAS)
6. Mastitis study (description, SAS)
7. Signal Tandmobiel study (description, SAS)

A program which creates all formats for all data sets can be downloaded here. A SAS data library named library must be created before running the program. This can be accomplished by running an autoexec file (paths to be adapted to local setting).

All data sets are also available in the R-package icensBKL which is available from CRAN.

R package icensBKL

The R-package icensBKL is available from CRAN. In addition to the data sets, it also contains some several smaller functions suitable for analysis of interval-censored data. Note that the package depends on several other packages which are automatically installed with the exception of the package Icens which is not available from CRAN but from BIOCONDUCTOR. You can install the package with the following lines of code.

> ## try http:// if https:// URLs are not supported

> source("https://bioconductor.org/biocLite.R")

> biocLite("Icens")

SAS macros

The SAS macros which are introduced in the book may downloaded here. In the SAS programs below it is assumed that the macros are stored in a directory (e.g. C:\SASmacros ) which is accessible by sasautos. This can be accomplished using the following code.

options mautosource sasautos = (sasautos, "C:/SASmacros");

Alternatively, the respective macro must be run before the program in order to work.

Programs

For SAS, it is assumed that the data are available in a libname called anadata and that macros are autoloaded or run in advance. An example autoexec program performing these requirements can be downloaded here.

Each program can be download separately below or together in a zip-file.

Some additional programs from other authors mentioned in the book but not discussed in detail can be downloaded here.

Errata

Although the manuscript was carefully prepared, some misprints and minor mistakes were still found after publication. The current list of errors can be found here (last updated on 08/03/2019).