NONPARAMETRIC HAZARD VERSUS NONPARAMETRIC FRAILTY DISTRIBUTION IN MODELING RECURRENCE OF BREAST-CANCER

被引:9
作者
DOSSANTOS, DM [1 ]
DAVIES, RB [1 ]
FRANCIS, B [1 ]
机构
[1] UNIV LANCASTER,FYIDE COLL,CTR APPL SCI,LANCASTER LA1 4YF,ENGLAND
关键词
FRAILTY; SURVIVAL MODEL; PIECEWISE EXPONENTIAL; PROFILE LOG-LIKELIHOOD; NONPARAMETRIC; MIXING DISTRIBUTION; RECURRENT EVENTS;
D O I
10.1016/0378-3758(94)00125-F
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
In extending survival models to include frailty effects, the relative merits of parametric and nonparametric formulations are unclear. The epidemiological emphasis (Clayton, Statist. in Med. 7 (1988) 819-841) has been upon nonparametric specification of conditional effects while, within econometrics (Heckman and Singer, Longitudinal Analysis of Labor Marker Data (Cambridge University Press, Cambridge, 1985) 39-110) there has been some concern with the nonparametric specification of residual heterogeneity. This paper illustrates and examines some of the issues that arise in applying frailty models to the recurrence of breast cancer. The results suggest marginal advantage for the 'econometric' approach provided that there is no interest per se in the frailty distribution. However, it is important to adopt a flexible parametric specification for the conditional hazard and to allow different shaped hazard functions for successive durations.
引用
收藏
页码:111 / 127
页数:17
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