Monotone missing data and pattern‐mixture models
Geert Molenberghs, Barbara Michiels, Michael G. Kenward, Peter John Diggle · Statistica Neerlandica · 1998
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.