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http://hdl.handle.net/1942/363
Title: | A Pattern-Mixture Odds Ratio Model for Incomplete Categorical Data | Authors: | MICHIELS, Bart MOLENBERGHS, Geert Lipsitz, Stuart |
Issue Date: | 1999 | Publisher: | MARCEL DEKKER INC | Source: | Communications in Statistics: Theory and Methods, 28(12). p. 2843-2869 | Abstract: | Most models for incomplete data are formulated within the selection model framework. Pattern-mixture models are increasingly seen as a viable alternative, both from an interpretational as well as from a computational point of view (Little 1993, Hogan:and Laird 1997, Ekholm and Skinner 1998). Whereas most applications are either for continuous normally distributed data or for simplified categorical settings such as contingency tables, we show how a multivariate odds ratio model (Molenberghs and Lesaffre 1994, 1998) can be used to fit pattern-mixture models to repeated binary outcomes with continuous covariates. Apart from point estimation, useful methods-for interval estimation are presented and data from a clinical study are analyzed to illustrate the methods. | Keywords: | categorical data; longitudinal data; missing data; multiple imputation; maximum likelihood estimation; odds ratio model | Document URI: | http://hdl.handle.net/1942/363 | DOI: | 10.1080/03610929908832453 | ISI #: | 000084122200004 | Rights: | Copyright (C) 1999 by Marcel Dekker, Inc | Type: | Journal Contribution | Validations: | ecoom 2000 |
Appears in Collections: | Research publications |
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