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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/342

Title: Pseudo-likelihood for combined selection and pattern-mixture models for incomplete data
Authors: Molenberghs, Geert
Michiels, Bart
Kenward, Michael
Keywords: Missing data
Longitudinal data
Issue Date: 1998
Citation: Biometrical Journal, 40(5). p. 557-572
Abstract: In this paper we develop pseudo-likelihood methods for the estimation of parameters in a model that is specified in terms of both selection modelling and pattern-mixture modelling quantities. Two cases are considered: (1) the model is specified directly from a joint model for the measurement and dropout processes; (2) conditional models for the measurement process given dropout and vice versa are specified directly. In the latter case, compatibility constraints to ensure the existence of a joint density are derived. The method is applied to data from a psychiatric study, where a bivariate therapeutic outcome is supplemented with covariate information.
URI: http://hdl.handle.net/1942/342
DOI: 10.1002/(SICI)1521-4036(199809)40:5<557::AID-BIMJ557>3.0.CO;2-S
ISI #: 000075865000004
ISSN: 0323-3847
Type: Journal Contribution
Validation: ecoom, 1999
Appears in Collections: Research publications

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