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BJ: an S-Plus program to fit linear regression models to censored data using the Buckley-James method.

J Stare1, F E Harrell, H Heinzl

  • 1Department of Biomedical Informatics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1104, Ljubljana, Slovenia.

Computer Methods and Programs in Biomedicine
|November 21, 2000
PubMed
Summary

The Buckley-James method extends least squares for censored regression but is underused. An S-Plus program is presented to facilitate its practical application in survival analysis.

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Area of Science:

  • Biostatistics
  • Survival Analysis
  • Statistical Modeling

Background:

  • Ordinary least squares regression is common, but unsuitable for censored data.
  • The Buckley-James method offers a least squares extension for right-censored regression.
  • Despite theoretical support, the Buckley-James method sees limited practical use.

Purpose of the Study:

  • To address the underutilization of the Buckley-James method.
  • To introduce an S-Plus program for implementing Buckley-James regression.
  • To leverage S-Plus functionalities for enhanced censored data analysis.

Main Methods:

  • Development of an S-Plus program for Buckley-James regression.
  • Integration of the program into a public domain function library.

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  • Utilizing S-Plus for model specification, diagnostics, inference, and visualization.

    • Main Results:

    • A functional S-Plus program for Buckley-James regression is now available.
    • The program enables practical application of the method within the S-Plus environment.
    • Facilitates comprehensive analysis including diagnostics and graphical depiction.

    Conclusions:

    • The developed S-Plus program significantly lowers the barrier to using Buckley-James regression.
    • Increased accessibility is expected to promote wider adoption of this method for censored data.
    • Enhanced statistical analysis of survival time data is facilitated through this software solution.