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http://hdl.handle.net/1942/20851
Title: | A goodness-of-fit test for the random-effects distribution in mixed models | Authors: | EFENDI, Achmad Drikvandi, R. VERBEKE, Geert MOLENBERGHS, Geert |
Issue Date: | 2015 | Source: | STATISTICAL METHODS IN MEDICAL RESEARCH, 26 (2), pag. 970-983 | Abstract: | In this paper, we develop a simple diagnostic test for the random-effects distribution in mixed models. The test is based on the gradient function, a graphical tool proposed by Verbeke and Molenberghs to check the impact of assumptions about the random-effects distribution in mixed models on inferences. Inference is conducted through the bootstrap. The proposed test is easy to implement and applicable in a general class of mixed models. The operating characteristics of the test are evaluated in a simulation study, and the method is further illustrated using two real data analyses. | Notes: | Verbeke, G (reprint author), Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Leuven, Belgium. geert.verbeke@kuleuven.be | Keywords: | bootstrap; goodness-of-fit; gradient function; mixed models; random effects | Document URI: | http://hdl.handle.net/1942/20851 | ISSN: | 0962-2802 | e-ISSN: | 1477-0334 | DOI: | 10.1177/0962280214564721 | ISI #: | 000399704500026 | Rights: | © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2018 vabb 2017 |
Appears in Collections: | Research publications |
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454.pdf | Peer-reviewed author version | 280.59 kB | Adobe PDF | View/Open |
0962280214564721.pdf Restricted Access | Published version | 405.26 kB | Adobe PDF | View/Open Request a copy |
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