A random pattern mixture model for ordinal outcomes with informative dropouts
نویسندگان
چکیده
منابع مشابه
Pattern mixture models and latent class models for the analysis of multivariate longitudinal data with informative dropouts.
Missing data and especially dropouts frequently arise in longitudinal data. Maximum likelihood estimates are consistent when data are missing at random (MAR) but, as this assumption is not checkable, pattern mixture models (PMM) have been developed to deal with informative dropout. More recently, latent class models (LCM) have been proposed as a way to relax PMM assumptions. The aim of this pap...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2015
ISSN: 0277-6715
DOI: 10.1002/sim.6514