title: Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out.
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.
authors.affiliation: Janssen Pharmaceutica, Turnhoutseweg 30, B-2340 Beerse, Belgium. bmichiel@janbe.jnj.com
authors.forename: Bart
authors.initials: B
authors.lastname: Michiels
authors.forename: Geert
authors.initials: G
authors.lastname: Molenberghs
authors.forename: Luc
authors.initials: L
authors.lastname: Bijnens
authors.forename: Tony
authors.initials: T
authors.lastname: Vangeneugden
authors.forename: Herbert
authors.initials: H
authors.lastname: Thijs
mesh_terms: D000368:Aged; D000970:Antineoplastic Agents / Q000627:therapeutic use; D001943:Breast Neoplasms / Q000188:drug therapy; D002277:Carcinoma / Q000188:drug therapy; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D015233:Models, Statistical; D009376:Neoplasms, Hormone-Dependent / Q000188:drug therapy; D010352:Patient Dropouts; D011788:Quality of Life; D014230:Triazoles / Q000627:therapeutic use
chemical_list: D000970:Antineoplastic Agents; D014230:Triazoles; C060523:vorozole