A goodness-of-fit test for the random-effects distribution in mixed models

Efendi, A, Drikvandi, R ORCID: https://orcid.org/0000-0002-7245-9713, Verbeke, G and Molenberghs, G (2017) A goodness-of-fit test for the random-effects distribution in mixed models. Statistical Methods in Medical Research, 26 (2). pp. 970-983. ISSN 0962-2802

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Abstract

© The Author(s) 2014. 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.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	04 Apr 2019 08:19
Publisher:	SAGE
Additional Information:	This is an Author Accepted Manuscript of an article in Statistical Methods in Medical Research, published by SAGE.
Divisions:	Faculties > Science and Engineering
Subject terms:	Science & Technology, Life Sciences & Biomedicine, Physical Sciences, Health Care Sciences & Services, Mathematical & Computational Biology, Medical Informatics, Statistics & Probability, Mathematics, Bootstrap, goodness-of-fit, gradient function, mixed models, random effects, MISSPECIFICATION, Humans, Onychomycosis, Epilepsy, Foot Dermatoses, Data Interpretation, Statistical, Models, Statistical, Computer Simulation, Databases, Factual, Randomized Controlled Trials as Topic, Biostatistics, Bootstrap, goodness-of-fit, gradient function, mixed models, random effects, Biostatistics, Computer Simulation, Data Interpretation, Statistical, Databases, Factual, Epilepsy, Foot Dermatoses, Humans, Models, Statistical, Onychomycosis, Randomized Controlled Trials as Topic, Statistics & Probability, 0104 Statistics, 1117 Public Health and Health Services
URI:	https://e-space.mmu.ac.uk/id/eprint/622741
DOI:	https://doi.org/10.1177/0962280214564721
ISSN	0962-2802
e-ISSN	1477-0334

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