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Monotone missing data and pattern-mixture models. (English) Zbl 0946.62034

Summary: It is shown that the classical taxonomy of missing data models, namely missing completely at random, missing at random and informative missingness, which has been developed almost exclusively within a selection modeling framework, can also be applied to pattern-mixture models. In particular, intuitively appealing identifying restrictions are proposed for a pattern-mixture MAR mechanism.

MSC:

62F99 Parametric inference
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