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

J Stare·F E Harrell·H Heinzl
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Abstract

Most researchers are familiar with ordinary multiple regression models, most commonly fitted using the method of least squares. The method of Buckley and James (J. Buckley, I. James, Linear regression with censored data, Biometrika 66 (1979) 429-436.) is an extension of least squares for fitting multiple regression models when the response variable is right-censored as in the analysis of survival time data. The Buckley-James method has been shown to have good statistical properties under usual regularity conditions (T.L. Lai, Z. Ying, Large sample theory of a modified Buckley-James estimator for regression analysis with censored data, Ann. Stat. 19 (1991) 1370-1402.). Nevertheless, even after 20 years of its existence, it is almost never used in practice. We believe that this is mainly due to lack of software and we describe here an S-Plus program that through its inclusion in a public domain function library fully exploits the power of the S-Plus programming environment. This environment provides multiple facilities for model specification, diagnostics, statistical inference, and graphical depiction of the model fit.

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Data Interpretation, StatisticalHumansLeast-Squares AnalysisLinear ModelsProportional Hazards ModelsSoftwareSurvival AnalysisJournal Article

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J Stare, F E Harrell, H Heinzl. 2001. BJ: an S-Plus program to fit linear regression models to censored data using the Buckley-James method.. https://doi.org/10.1016/s0169-2607(00)00083-3

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