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

Authors: Robins, J M

Published In Stat Med, (1997 Jan 15-Feb 15)

Abstract: 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.

PubMed ID: 9004381 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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