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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11050

Title: Flexible estimation of serial correlation in nonlinear mixed models
Authors: Serroyen, Jan
Molenberghs, Geert
Aerts, Marc
Vloeberghs, Ellen
De Deyn, Peter Paul
Verbeke, Geert
Issue Date: 2010
Citation: 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. geert.molenberghs@uhasselt.be
URI: http://hdl.handle.net/1942/11050
DOI: 10.1080/02664760902914425
ISI #: 000277584100010
ISSN: 0266-4763
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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