Publication
Title
Flexible estimation of serial correlation in nonlinear mixed models
Author
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.
Language
English
Source (journal)
Journal of applied statistics. - Abingdon
Publication
Abingdon : 2010
ISSN
0266-4763
Volume/pages
37:5(2010), p. 833-846
ISI
000277584100010
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
E-info
Web of Science
Record
Identification
Creation 21.06.2010
Last edited 21.07.2017
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