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

    Efendi, A, Drikvandi, R ORCID logoORCID: 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.

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