Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9542

Title: A comparison of methods for estimating the random effects distribution of a linear mixedmodel
Authors: Ghidey, W.
LESAFFRE, Emmanuel
Issue Date: 2008
Publisher: SAGE Publications
Abstract: This article reviews various recently suggested approaches to estimate the random effects distribution in a linear mixed model, i.e. (1) the smoothing by roughening approach of Shenand Louis,1 (2) the semi-non-parametric approach of Zhang and Davidian,2 (3) the heterogeneity model of Verbeke and Lesaffre3 and (4) a flexible approach of Ghidey et al.4 These four approaches are compared via an extensive simulation study. We conclude that for the considered cases, the approach of Ghidey et al.4 often shows to have the smallest integrated mean squared error for estimating the random effects distribution. An analysis of a longitudinal dental data set illustrates the performance of the methods in a practical example.
Notes: Online First Article
URI: http://hdl.handle.net/1942/9542
DOI: 10.1177/0962280208091686
ISI #: 000284763000002
ISSN: 0962-2802
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

Files in This Item:

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.