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

Efendi, Achmad; Drikvandi, Reza; Verbeke, Geert; Molenberghs, Geert

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Authors

Achmad Efendi

Geert Verbeke

Geert Molenberghs



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.

Citation

Efendi, A., Drikvandi, R., Verbeke, G., & Molenberghs, G. (2017). A goodness-of-fit test for the random-effects distribution in mixed models. Statistical Methods in Medical Research, 26(2), 970-983. https://doi.org/10.1177/0962280214564721

Journal Article Type Article
Online Publication Date Dec 24, 2017
Publication Date 2017-04
Deposit Date Oct 6, 2020
Publicly Available Date Nov 2, 2020
Journal Statistical Methods in Medical Research
Print ISSN 0962-2802
Electronic ISSN 0962-2802
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 26
Issue 2
Pages 970-983
DOI https://doi.org/10.1177/0962280214564721

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Accepted Journal Article (427 Kb)
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Copyright Statement
Efendi, Achmad, Drikvandi, Reza, Verbeke, Geert & Molenberghs, Geert (2017). A goodness-of-fit test for the random-effects distribution in mixed models. Statistical Methods in Medical Research 26(2): 970-983. Copyright © 2014 The Author(s). DOI: 10.1177/0962280214564721




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