REGRESSION-ANALYSIS OF GROUPED SURVIVAL-DATA WITH INCOMPLETE COVARIATES - NONIGNORABLE MISSING-DATA AND CENSORING MECHANISMS

被引：12

作者：

BAKER, SG

机构：

[1] Biometry Branch, Div. of Cancer Prevention/Control, National Cancer Institute, Bethesda, MD 20892-7354

来源：

BIOMETRICS | 1994年 / 50卷 / 03期

关键词：

CATEGORICAL DATA; COMPOSITE LINEAR MODEL; MISSING DATA; PARTIALLY OBSERVED COVARIATES; SURVIVAL ANALYSIS;

D O I：

10.2307/2532794

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Previous methods for the analysis of survival data with incomplete covariates have assumed that the missing-data and censoring mechanisms are ignorable. We relax both assumptions for the analysis of grouped survival data.

引用

页码：821 / 826

页数：6

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