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http://hdl.handle.net/1942/11408
Title: | Pattern-mixture models for categorical outcomes with non-monotone missingness | Authors: | JANSEN, Ivy MOLENBERGHS, Geert |
Issue Date: | 2010 | Publisher: | TAYLOR & FRANCIS LTD | Source: | JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 80 (11). p. 1279-1296 | Abstract: | Although most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years [R.J.A. Little, Pattern-mixture models for multivariate incomplete data, J. Am. Stat. Assoc. 88 (1993), pp. 125-134; R.J.A. Lrittle, A class of pattern-mixture models for normal incomplete data, Biometrika 81 (1994), pp. 471-483], since it is often argued that selection models, although many are identifiable, should be approached with caution, especially in the context of MNAR models [R.J. Glynn, N.M. Laird, and D.B. Rubin, Selection modeling versus mixture modeling with nonignorable nonresponse, in Drawing Inferences from Self-selected Samples, H. Wainer, ed., Springer-Verlag, New York, 1986, pp. 115-142]. In this paper, the focus is on several strategies to fit pattern-mixture models for non-monotone categorical outcomes. The issue of under-identification in pattern-mixture models is addressed through identifying restrictions. Attention will be given to the derivation of the marginal covariate effect in pattern-mixture models for non-monotone categorical data, which is less straightforward than in the case of linear models for continuous data. The techniques developed will be used to analyse data from a clinical study in psychiatry. | Notes: | Molenberghs, G (reprint author) [Jansen, Ivy; Molenberghs, Geert] Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium. geert.molenberghs@uhasselt.be | Keywords: | categorical data; identifying restrictions; multivariate Dale model; non-monotone missingness; pattern-mixture models;categorical data; identifying restrictions; multivariate Dale model; non-monotone missingness; pattern-mixture models | Document URI: | http://hdl.handle.net/1942/11408 | ISSN: | 0094-9655 | e-ISSN: | 1563-5163 | DOI: | 10.1080/00949650903062566 | ISI #: | 000283061500008 | Rights: | © 2010 Taylor & Francis | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
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pmm_ivy5[1].pdf | Peer-reviewed author version | 234.13 kB | Adobe PDF | View/Open |
jansen2010.pdf Restricted Access | Published version | 241.28 kB | Adobe PDF | View/Open Request a copy |
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