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 modelling framework, can also be applied to pattern‐mixture models. In particular, intuitively appealing identifying restrictions are proposed for a pattern‐mixture MAR mechanism.
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Molenberghs et al. (1998) studied this question.