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Title: Flexible estimation of serial correlation in nonlinear mixed models
Authors: SERROYEN, Jan 
AERTS, Marc 
Vloeberghs, Ellen
De Deyn, Peter Paul
Issue Date: 2010
Source: JOURNAL OF APPLIED STATISTICS, 37(5). p. 833-846
Abstract: In the conventional linear mixed-effects model, four structures can be distinguished: fixed effects, random effects, measurement error and serial correlation. The latter captures the phenomenon that the correlation structure within a subject depends on the time lag between two measurements. While the general linear mixed model is rather flexible, the need has arisen to further increase flexibility. In addition to work done in the area, we propose the use of spline-based modeling of the serial correlation function, so as to allow for additional flexibility. This approach is applied to data from a pre-clinical experiment in dementia which studied the eating and drinking behavior in mice.
Notes: [Serroyen, Jan] Univ Maastricht, Dept Methodol & Stat, NL-6229 HA Maastricht, Netherlands. [Molenberghs, Geert; Aerts, Marc; Verbeke, Geert] Hasselt Univ, I BioStat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Louvain, Belgium. [Vloeberghs, Ellen; De Deyn, Peter Paul] Univ Antwerp, Lab Neurochem & Behav, B-2170 Antwerp, Belgium.
Keywords: Alzheimer's disease; dementia; ordinary least squares; random effect;Alzheimer's disease; dementia; ordinary least squares; random effect
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ISSN: 0266-4763
e-ISSN: 1360-0532
DOI: 10.1080/02664760902914425
ISI #: 000277584100010
Rights: © 2010 Taylor & Francis
Category: A1
Type: Journal Contribution
Validations: ecoom 2011
Appears in Collections:Research publications

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