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A goodness-of-fit test for the random-effects distribution in mixed models.
- Source :
-
Statistical methods in medical research [Stat Methods Med Res] 2017 Apr; Vol. 26 (2), pp. 970-983. Date of Electronic Publication: 2014 Dec 24. - Publication Year :
- 2017
-
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.
- Subjects :
- Biostatistics methods
Computer Simulation
Data Interpretation, Statistical
Databases, Factual statistics & numerical data
Epilepsy drug therapy
Foot Dermatoses drug therapy
Humans
Onychomycosis drug therapy
Randomized Controlled Trials as Topic statistics & numerical data
Models, Statistical
Subjects
Details
- Language :
- English
- ISSN :
- 1477-0334
- Volume :
- 26
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Statistical methods in medical research
- Publication Type :
- Academic Journal
- Accession number :
- 25539840
- Full Text :
- https://doi.org/10.1177/0962280214564721