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Stat Med. 2002 Apr 30;21(8):1023-41.

Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out.

Author information

1
Janssen Pharmaceutica, Turnhoutseweg 30, B-2340 Beerse, Belgium. bmichiel@janbe.jnj.com

Abstract

Longitudinally observed quality of life data with large amounts of drop-out are analysed. First we used the selection modelling framework, frequently used with incomplete studies. An alternative method consists of using pattern-mixture models. These are also straightforward to implement, but result in a different set of parameters for the measurement and drop-out mechanisms. Since selection models and pattern-mixture models are based upon different factorizations of the joint distribution of measurement and drop-out mechanisms, comparing both models concerning, for example, treatment effect, is a useful form of a sensitivity analysis.

PMID:
11933032
[Indexed for MEDLINE]

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