ESTIMATION OF THE TIME-DEPENDENT ACCELERATED FAILURE TIME MODEL IN THE PRESENCE OF CONFOUNDING FACTORS

被引：39

作者：

ROBINS, J ^{[1
]}

机构：

[1] HARVARD UNIV,SCH PUBL HLTH,DEPT BIOSTAT,BOSTON,MA 02115

来源：

BIOMETRIKA | 1992年 / 79卷 / 02期

关键词：

AIDS; CAUSAL; OBSERVATIONAL STUDY; SEMIPARAMETRIC ANALYSIS; SURVIVAL DATA; TIME-DEPENDENT COVARIATE;

D O I：

10.1093/biomet/79.2.321

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Cox & Oakes (1984, p. 66) introduced the 'strong version' of the accelerated failure time model with time-dependent exposures. We provide conditions under which this model could be used to estimate, from observational data, the causal effect of a time-varying exposure or treatment on time to an event of interest in the presence of time-dependent confounding variables. We propose a class of semiparametric tests and estimators for the model parameters. This class contains an estimator that is semiparametric efficient in the sense of Begun et al. (1983).

引用

页码：321 / 334

页数：14

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