Abstract

Graphical methods based on the analysis of residuals are considered for the setting of the highly-used Cox (1972) regression model and for the Andersen-Gill (1982) generalization of that model. We start with a class of martingale-based residuals as proposed by Barlow & Prentice (1988). These residuals and/or their transforms are useful for investigating the functional form of a covariate, the proportional hazards assumption, the leverage of each subject upon the estimates of β, and the lack of model fit to a given subject.

Keywords

MathematicsMartingale (probability theory)CovariateEconometricsStatisticsLeverage (statistics)GeneralizationStudentized residualApplied mathematicsMathematical analysis

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Year
1990
Type
article
Volume
77
Issue
1
Pages
147-160
Citations
1035
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Closed

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Terry M. Therneau, Patricia M. Grambsch, T. R. FLEMING (1990). Martingale-based residuals for survival models. Biometrika , 77 (1) , 147-160. https://doi.org/10.1093/biomet/77.1.147

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DOI
10.1093/biomet/77.1.147