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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 | Source: | 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 | Keywords: | cold plate test; generalized estimating equations; longitudinal data; multiple response variables; nerve repair; Poisson regression;cold plate test; generalized estimating equations; longitudinal data; multiple response variables; nerve repair; poisson regression | Document URI: | http://hdl.handle.net/1942/1967 | ISSN: | 1054-3406 | e-ISSN: | 1520-5711 | DOI: | 10.1080/10543400600795384 | ISI #: | 000242044000008 | Rights: | © Taylor & Francis Group, LLC | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2007 |
Appears in Collections: | Research publications |
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