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Pattern Graph Models for Non-monotone Missing Data with an Application to Myocardial Infarction Complications
Non-monotone missingness is frequently encountered in practice, with intermittent dropout and re-entry in longitudinal studies as a canonical example. Under non-monotone missingness, the missing at random (MAR) assumption often lacks a clear causal interpretation and imposes implicit constraints on
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