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http://hdl.handle.net/1942/11149
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DC Field | Value | Language |
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dc.contributor.author | ALONSO ABAD, Ariel | - |
dc.contributor.author | LITIERE, Saskia | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2010-09-15T12:50:02Z | - |
dc.date.available | NO_RESTRICTION | - |
dc.date.available | 2010-09-15T12:50:02Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | BIOSTATISTICS, 11(4). p. 771-786 | - |
dc.identifier.issn | 1465-4644 | - |
dc.identifier.uri | http://hdl.handle.net/1942/11149 | - |
dc.description.abstract | Generalized linear mixed models have become a frequently used tool for the analysis of non-Gaussian longitudinal data. Estimation is often based on maximum likelihood theory, which assumes that the underlying probability model is correctly specified. Recent research shows that the results obtained from these models are not always robust against departures from the assumptions on which they are based. Therefore, diagnostic tools for the detection of model misspecifications are of the utmost importance. In this paper, we propose 2 diagnostic tests that are based on 2 equivalent representations of the model information matrix. We evaluate the power of both tests using theoretical considerations as well as via simulation. In the simulations, the performance of the new tools is evaluated in many settings of practical relevance, focusing on misspecification of the random-effects structure. In all the scenarios, the results were encouraging, however, the tests also exhibited inflated Type I error rates when the sample size was small or moderate. Importantly, a parametric bootstrap version of the tests seems to overcome this problem, although more research in this direction may be needed. Finally, both tests were also applied to analyze a real case study in psychiatry. | - |
dc.description.sponsorship | Interuniversity Attraction Poles research Network P6/03 of the Belgian Government (Belgian Science Policy). | - |
dc.language.iso | en | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.rights | (c) The Author 2010. Published by Oxford University Press. | - |
dc.subject.other | generalized linear mixed model; information matrix test; linear mixed model; random-effects misspecification; sandwich estimator | - |
dc.subject.other | Generalized linear mixed model; Information matrix test; Linear mixed model; Random-effects misspecification; Sandwich estimator | - |
dc.title | Testing for misspecification in generalized linear mixed models | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 786 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 771 | - |
dc.identifier.volume | 11 | - |
local.format.pages | 16 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Abad, Ariel Alonso; Litiere, Saskia; Molenberghs, Geert] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, B-3000 Louvain, Belgium. ariel.alonso@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1093/biostatistics/kxq019 | - |
dc.identifier.isi | 000281342400014 | - |
item.fullcitation | ALONSO ABAD, Ariel; LITIERE, Saskia & MOLENBERGHS, Geert (2010) Testing for misspecification in generalized linear mixed models. In: BIOSTATISTICS, 11(4). p. 771-786. | - |
item.contributor | ALONSO ABAD, Ariel | - |
item.contributor | LITIERE, Saskia | - |
item.contributor | MOLENBERGHS, Geert | - |
item.validation | ecoom 2011 | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1465-4644 | - |
crisitem.journal.eissn | 1468-4357 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Test-biostatistics3[1].pdf | Peer-reviewed author version | 196.97 kB | Adobe PDF | View/Open |
kxq019.pdf | Published version | 619.71 kB | Adobe PDF | View/Open |
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