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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
Citation: 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.
URI: http://hdl.handle.net/1942/9226
DOI: 10.1002/sim.3432
ISI #: 000262294200023
ISSN: 0277-6715
Category: A1
Type: Journal Contribution
Validation: ecoom, 2010
Appears in Collections: Research publications

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