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.
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.
| Item Type: | Article |
|---|---|
| Full text: | (AM) Accepted Manuscript Download PDF (418Kb) |
| Status: | Peer-reviewed |
| 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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