Non-response models for the analysis of non-monotone non-ignorable missing data

被引：0

作者：

Robins, JM ^{[1
]}

机构：

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

来源：

STATISTICS IN MEDICINE | 1997年 / 16卷 / 1-3期

关键词：

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

I introduce a new class of non-ignorable non-monotone missing data models. These models are useful for investigating the sensitivity of one's estimates to untestable assumptions about the missing data process. I use the new models to analyse data from a case-control study of the effect of radiation on breast cancer.

引用

页码：21 / 37

页数：17

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