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Biometrika 1981 68(1):93-98; doi:10.1093/biomet/68.1.93
© 1981 by Biometrika Trust
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The graphical evaluation of explanatory variables in proportional hazard regression models

S. W. LAGAKOS

Sidney Farber Cancer Institute, Department of Biostatistics, Harvard University Boston, Massachusetts

A graphical technique for assessing explanatory variables in Cox's proportional hazards regression model is examined. The method arises from consideration of the cumulative hazard transformation and the partial likelihood score function, and consists of permuting the observed rank statistic to account for the effects of explanatory variables fitted to the model. An example is provided.

Key Words: Censored observation • Covariate model • Graphical method • Model testing • Rank regression • Residual • Survival data


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