Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9226
Title: A comparison of three random effects approaches to analyze repeated bounded outcome scores with an application in a stroke revalidation study
Authors: Molas, Marek
LESAFFRE, Emmanuel 
Issue Date: 2008
Publisher: JOHN WILEY & SONS LTD
Source: STATISTICS IN MEDICINE, 27(30). p. 6612-6633
Abstract: Discrete bounded outcome scores (BOS), i.e. discrete measurements that are restricted on a finite interval, often occur in practice. Examples are compliance measures, quality of life measures, etc. In this paper we examine three related random effects approaches to analyze longitudinal studies with a BOS as response: (1) a linear mixed effects (LM) model applied to a logistic transformed modified BOS; (2) a model assuming that the discrete BOS is a coarsened version of a latent random variable, which after a logistic-normal transformation, satisfies an LM model; and (3) a random effects probit model. We consider also the extension whereby the variability of the BOS is allowed to depend on covariates. The methods are contrasted using a simulation study and on a longitudinal project, which documents stroke rehabilitation in four European countries using measures of motor and functional recovery. Copyright (C) 2008 John Wiley & Sons, Ltd.
Notes: [Molas, Marek; Lesaffre, Emmanuel] Erasmus MC, Dept Biostat, NL-3015 GE Rotterdam, Netherlands. [Lesaffre, Emmanuel] Catholic Univ Louvain, B-3000 Louvain, Belgium. [Lesaffre, Emmanuel] Univ Hasselt, Diepenbeek, Belgium.
Keywords: bounded outcome scores; compliance; logistic transform; longitudinal studies; repeated measures
Document URI: http://hdl.handle.net/1942/9226
ISSN: 0277-6715
e-ISSN: 1097-0258
DOI: 10.1002/sim.3432
ISI #: 000262294200023
Category: A1
Type: Journal Contribution
Validations: ecoom 2010
Appears in Collections:Research publications

Show full item record

SCOPUSTM   
Citations

14
checked on Sep 3, 2020

WEB OF SCIENCETM
Citations

15
checked on May 14, 2022

Page view(s)

50
checked on May 18, 2022

Google ScholarTM

Check

Altmetric


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