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http://hdl.handle.net/1942/10817
Title: | Sensitivity Analysis for Shared-Parameter Models for Incomplete Longitudinal Outcomes | Authors: | CREEMERS, An HENS, Niel AERTS, Marc MOLENBERGHS, Geert VERBEKE, Geert Kenward, Michael G. |
Issue Date: | 2010 | Publisher: | WILEY-V C H VERLAG GMBH | Source: | BIOMETRICAL JOURNAL, 52(1). p. 111-125 | Abstract: | All models for incomplete data either explicitly make assumptions about aspects of the distribution of the unobserved outcomes, given the observed ones, or at least implicitly imply such. One consequence is that there routinely exist a whole class of models, coinciding in their description of the observed portion of the data but differing with respect to their "predictions" of what is unobserved. Within such a class, there always is a single model corresponding to so-called random missingness, in the sense that the mechanism governing missingness depends on covariates and observed outcomes, but given these not further on unobserved outcomes. We employ these results in the context of so-called shared-parameter models where outcome and missingness models are connected by means of common latent variables or random effects, to devise a sensitivity analysis framework. Precisely, the impact of varying unverifiable assumptions about unobserved measurements on parameters of interest is studied. Apart from analytic considerations, the proposed methodology is applied to assess treatment effect in data from a clinical trial in toenail dermatophyte onychomycosis. While our focus is on longitudinal outcomes with incomplete outcome data, the ideas developed in this paper are of use whenever a shared-parameter model could be considered. | Notes: | [Creemers, An; Hens, Niel; Aerts, Marc; Molenberghs, Geert; Verbeke, Geert] Univ Hasselt, I BioStat, B-3590 Diepenbeek, Belgium. [Hens, Niel] Univ Antwerp, B-2610 Antwerp, Belgium. [Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Louvain, Belgium. [Kenward, Michael G.] London Sch Hyg & Trop Med, Med Stat Unit, London WC1E 7HT, England. | Keywords: | Missing at random; Missing not at random; Onychomychosis; Pattern-mixture model; Selection model | Document URI: | http://hdl.handle.net/1942/10817 | ISSN: | 0323-3847 | e-ISSN: | 1521-4036 | DOI: | 10.1002/bimj.200800235 | ISI #: | 000275249300009 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
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spmsens07[1].pdf | Peer-reviewed author version | 174.07 kB | Adobe PDF | View/Open |
Creemers_et_al-2010-Biometrical_Journal.pdf Restricted Access | Published version | 268.59 kB | Adobe PDF | View/Open Request a copy |
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