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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2007

Title: GLMM approach to study the spatial and temporal evolution of spikes in the small intestine
Authors: FAES, Christel
GEYS, Helena
Donck, LV
Lammers, WJEP
Issue Date: 2006
Citation: STATISTICAL MODELLING, 6(4). p. 300-320
Abstract: Mixed models can be applied in a wide range of settings. Probably, they are most commonly used to handle grouping in the data. In addition, mixed models can be used for smoothing purposes as well. When dealing with non-normal data, the use of smoothing methods within the generalized linear mixed models (GLMM) framework is less familiar. We explore the use of GLMM for smoothing purposes in both spatial and longitudinal dimensions. The methodology is illustrated by analysis of spike potentials in the small intestine of different cats. Spatio-temporal models that use two-dimensional smoothing splines across the spatial dimension and random effects to account for the correlations during successive slow-waves are developed. A major advantage of the mixed-model approach is that it can handle smoothing together with grouping (or other types of correlations) in a unified model. In this way, areas with high spike incidence compared with other areas can be detected. Also, the temporal and spatial characteristics of spikes during successive slow-waves can be identified.
Notes: Hasselt Univ, Ctr Stat, Diepenbeek, Belgium. Janssen Pharmaceut, B-2340 Beerse, Belgium. Fac Med & Hlth Sci, Dept Physiol, Al Ain, U Arab Emirates.Faes, C, Hasselt Univ, Ctr Stat, Diepenbeek, Belgium.christel.faes@uhasselt.be
URI: http://hdl.handle.net/1942/2007
DOI: 10.1177/1471082006071851
ISI #: 000244900900002
ISSN: 1471-082X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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