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NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE NON-IGNORABLE MISSING DATA

✍ Scribed by JAMES M. ROBINS

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
353 KB
Volume
16
Category
Article
ISSN
0277-6715

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✦ Synopsis

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.

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