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

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

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: 1477-0334
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 26
• Issue: 2
• Pages: 970-983
• DOI: https://doi.org/10.1177/0962280214564721
• Public URL: https://durham-repository.worktribe.com/output/1254844