ITEM METADATA RECORD
Title: A goodness-of-fit test for the random-effects distribution in mixed models
Authors: Efendi, Achmad ×
Drikvandi, Reza
Verbeke, Geert
Molenberghs, Geert #
Issue Date: Dec-2014
Publisher: Edward Arnold
Series Title: Statistical Methods in Medical Research vol:Ahead of print
Article number: 0962280214564721
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.
URI: 
ISSN: 0962-2802
VABB publication type: VABB-1
Publication status: accepted
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
454.pdf Accepted 280KbAdobe PDFView/Open

 


All items in Lirias are protected by copyright, with all rights reserved.