Pattern-Mixture Models for Multivariate Incomplete Data¶
Little, R. J. A. (1993). Pattern-Mixture Models for Multivariate Incomplete Data. Journal of the American Statistical Association, 88(421), 125-134.
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1 citation across 1 artifact.
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Mechanisms¶
- Pattern-Mixture Sensitivity Model
- Its strength is transparency about the untestable: the MNAR assumption is a number a domain expert can argue about, and because the model conditions on the actually-observed pattern
This sourceDefines pattern-mixture models by conditioning the data distribution on the observed missingness pattern.
- Its strength is transparency about the untestable: the MNAR assumption is a number a domain expert can argue about, and because the model conditions on the actually-observed pattern
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Registry ID ref:ec442077905c · see in the full table