RESIDUAL ANALYSIS FOR PARAMETRIC MODELS FIT TO CENSORED-DATA

被引:0
|
作者
WEISSFELD, LA
SCHNEIDER, H
机构
[1] UNIV PITTSBURGH,DEPT BIOSTAT,PITTSBURGH,PA 15261
[2] LOUISIANA STATE UNIV,DEPT QUANTITAT BUSINESS ANAL,BATON ROUGE,LA 70803
关键词
LOGNORMAL MODEL; RESIDUAL ANALYSIS; WEIBULL MODEL;
D O I
10.1080/03610929408831386
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
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页码:2283 / 2297
页数:15
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