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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1967

Title: A modeling approach to the analysis of nerve regenerative experiments
Authors: Van Sanden, Suzy
Wouters, Luc
Burzykowski, Tomasz
Molenberghs, Geert
Van Remoortere, Marie
Meert, Theo
Bijnens, Luc
Issue Date: 2006
Publisher: TAYLOR & FRANCIS INC
Citation: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 16(6). p. 843-859
Abstract: Many experiments aiming at the investigation of nerve repair involve elaborate testing over a certain time period. Data arising from such experiments are often analyzed by time-point. Such a cross-sectional approach is often very inefficient. In this paper, we consider a case study in which repeated measurements of two response variables assumed to be Poisson distributed are obtained. We show how a repeated measures modeling approach, based on generalized linear models, can handle both responses in one model and improve the inference in the nerve repair experiments. The benefits of the model as well as problems that can occur are illustrated and discussed.
Notes: Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium. Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium. Univ Antwerp Hosp, Dept Anesthesiol, Edegem, Belgium.Van Sanden, S, Hasselt Univ, Ctr Stat, Bldg D, B-3590 Diepenbeek, Belgium.suzy.vansanden@uhasselt.be
URI: http://hdl.handle.net/1942/1967
DOI: 10.1080/10543400600795384
ISI #: 000242044000008
ISSN: 1054-3406
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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