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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2210

Title: Meaningful statistical model formulations for repeated measures
Authors: Molenberghs, Geert
Verbeke, Geert
Issue Date: 2004
Citation: STATISTICA SINICA, 14(3). p. 989-1020
Abstract: When choosing a parametric statistical model two important considerations are mathematical soundness and substantive relevance. In this paper, we illustrate and exemplify that a number of issues arise from these considerations, even in relatively simple settings, such as ordinal regression, linear mixed models, models for cross-classified data and generalized linear mixed models. Many of our points are illustrated with data.
Notes: Limburgs Univ Ctr, Ctr Stat, tUL, B-3590 Diepenbeek, Belgium. Catholic Univ Louvain, Ctr Biostat, UZ St Rafael, B-3000 Louvain, Belgium.Molenberghs, G, Limburgs Univ Ctr, Ctr Stat, tUL, Univ Campus, B-3590 Diepenbeek, Belgium.geert.molenberghs@luc.ac.be geert.verbeke@med.kuleuven.ac.be
URI: http://hdl.handle.net/1942/2210
Link to publication: http://www3.stat.sinica.edu.tw/statistica/oldpdf/A14n318.pdf
ISI #: 000223652100020
ISSN: 1017-0405
Category: A1
Type: Journal Contribution
Validation: ecoom, 2005
Appears in Collections: Research publications

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