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Monotone missing data and pattern-mixture models
Authors:G Molenberghs  B Michiels  M G Kenward  & P J Diggle
Institution:Biostatistics, Limburgs Universitair Centrum, Universitaire Campus, B3590 Diepenbeek, Belgium,;Institute of Mathematics and Statistics, The University, Canterbury, Kent CT2 7NF, UK,;Department of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, UK
Abstract: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.
Keywords:missing at random  selection model
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