Properties of added variable plots in Cox's regression model

被引:1
作者
Lindkvist, M [1 ]
机构
[1] Umea Univ, Dept Stat, S-90187 Umea, Sweden
关键词
adjusted variable plot; graphical diagnostics; influence; proportional hazards; regression diagnostics;
D O I
10.1023/A:1009609916604
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The added variable plot is useful for examining the effect of a covariate in regression models. The plot provides information regarding the inclusion of a covariate, and is useful in identifying influential observations on the parameter estimates. Hall et al. (1996) proposed a plot for Cox's proportional hazards model derived by regarding the Cox model as a generalized linear model. This paper proves and discusses properties of this plot. These properties make the plot a valuable tool in model evaluation. Quantities considered include parameter estimates, residuals, leverage, case influence measures and correspondence to previously proposed residuals and diagnostics.
引用
收藏
页码:23 / 38
页数:16
相关论文
共 20 条
[11]  
COX DR, 1972, J R STAT SOC B, V34, P187
[12]  
Hall C B, 1996, Lifetime Data Anal, V2, P73, DOI 10.1007/BF00128472
[13]  
HINES RJO, 1993, APPL STAT-J ROY ST C, V42, P3
[14]  
Landwehr, 1993, APPL STAT, V42, P16
[15]   LOGISTIC-REGRESSION DIAGNOSTICS [J].
PREGIBON, D .
ANNALS OF STATISTICS, 1981, 9 (04) :705-724
[16]  
PREGIBON D, 1985, ENCY STATISTICAL SCI, V5, P82
[17]   PARTIAL RESIDUALS FOR THE PROPORTIONAL HAZARDS REGRESSION-MODEL [J].
SCHOENFELD, D .
BIOMETRIKA, 1982, 69 (01) :239-241
[18]   MARTINGALE-BASED RESIDUALS FOR SURVIVAL MODELS [J].
THERNEAU, TM ;
GRAMBSCH, PM ;
FLEMING, TR .
BIOMETRIKA, 1990, 77 (01) :147-160
[19]   RESIDUAL PLOTS FOR DETECTING NONLINEARITY IN GENERALIZED LINEAR-MODELS [J].
WANG, PC .
TECHNOMETRICS, 1987, 29 (04) :435-438
[20]   ADDING A VARIABLE IN GENERALIZED LINEAR-MODELS [J].
WANG, PC .
TECHNOMETRICS, 1985, 27 (03) :273-276