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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11064

Title: Coping With Memory Effect and Serial Correlation When Estimating Reliability in a Longitudinal Framework
Authors: Laenen, Annouschka
Alonso Abad, Ariel
Molenberghs, Geert
Vangeneugden, Tony
Mallinckrodt, Craig H.
Issue Date: 2010
Abstract: Longitudinal studies are permeating clinical trials in psychiatry. Therefore, it is of utmost importance to study the psychometric properties of rating scales, frequently used in these trials, within a longitudinal framework. However, intrasubject serial correlation and memory effects are problematic issues often encountered in longitudinal data. In the present work the authors study, via simulation, the impact of uncontrolled sources of serial correlation on newly proposed measures, designed to evaluate reliability in a longitudinal scenario. This study also addresses the relationship between serial correlation and memory effect. The simulations illustrate that ignoring serial correlation can have a severe impact on the estimates of reliability and on inferences related to it. Importantly, the authors show that the underlying modeling framework used in this new approach allows correcting for this type of correlation and avoiding bias. Moreover, it can adjust for the presence of a memory effect. Nevertheless, to achieve that, a careful model building is required.
Notes: [Laenen, Annouschka; Alonso, Ariel; Molenberghs, Geert] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Louvain, Belgium. [Vangeneugden, Tony] Johnson & Johnson, Tibotec, Mechelen, Belgium. [Mallinckrodt, Craig H.] Eli Lilly & Co, Indianapolis, IN 46285 USA. annouschka.laenen@uhasselt.be
URI: http://hdl.handle.net/1942/11064
DOI: 10.1177/0146621609349494
ISI #: 000277734300003
ISSN: 0146-6216
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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