Efendi, Achmad and Drikvandi, Reza and Verbeke, Geert and Molenberghs, Geert (2017) 'A goodness-of-fit test for the random-effects distribution in mixed models.', Statistical methods in medical research., 26 (2). pp. 970-983.
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.
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||https://doi.org/10.1177/0962280214564721|
|Publisher 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|
|Date accepted:||No date available|
|Date deposited:||02 November 2020|
|Date of first online publication:||24 December 2017|
|Date first made open access:||02 November 2020|
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