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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 |
Issue Date: | 1998 | Source: | 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. | Keywords: | missing at random; binary data; robust variance estimator | Document URI: | http://hdl.handle.net/1942/342 | ISSN: | 0323-3847 | e-ISSN: | 1521-4036 | DOI: | 10.1002/(SICI)1521-4036(199809)40:5<557::AID-BIMJ557>3.0.CO;2-S | ISI #: | 000075865000004 | Type: | Journal Contribution | Validations: | ecoom 1999 |
Appears in Collections: | Research publications |
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