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Residual analysis for parametric models fit to censored data
Authors:LA Weissfeld  H Schneider
Institution:1. Department of Biostatistics , University of Pittsburgh , Pittsburgh , PA , 15261;2. Department of Quantitative Business Analysis , Louisiana State University , Baton Rouge , LA , 70803
Abstract:The focus of this paper is on residual analysis for the lognormal and extreme value or Weibull models, although the proposed methods can be applied to any parametric model. Residuals developed by Barlow and Prentice (1988) for the Cox proportional hazards model are extended to the parametric model setting. Three different residuals are proposed based on this approach with two residuals measuring the impact of survival time and one measuring the impact of the covariates included in the model. In addition, a residual derived from the deviations equality presented in Efron and Johnstone (1990) and the residual proposed by Joergensen (1984) for censored data models are discussed.
Keywords:lognormal model  residual analysis  Weibull model
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