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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 | Publisher: | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD | 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. geert.molenberghs@uhasselt.be | Keywords: | Alzheimer's disease; dementia; ordinary least squares; random effect;Alzheimer's disease; dementia; ordinary least squares; random effect | Document URI: | http://hdl.handle.net/1942/11050 | 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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serial15[1].pdf | Peer-reviewed author version | 186.63 kB | Adobe PDF | View/Open |
a.pdf Restricted Access | Published version | 363.19 kB | Adobe PDF | View/Open Request a copy |
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