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http://hdl.handle.net/1942/2210
Title: | Meaningful statistical model formulations for repeated measures | Authors: | MOLENBERGHS, Geert VERBEKE, Geert |
Issue Date: | 2004 | Publisher: | STATISTICA SINICA | Source: | 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 | Keywords: | binary data; conditional model; generalized linear mixed model; likelihood ratio test; linear mixed model; logistic regression; marginal model; ordinal data; random effects; score test; variance components;binary data; conditional model; generalized linear mixed model; likelihood ratio test; linear mixed model; logistic regression; marginal model; ordinal data; random effects; score test; variance components | Document URI: | http://hdl.handle.net/1942/2210 | Link to publication/dataset: | http://www3.stat.sinica.edu.tw/statistica/oldpdf/A14n318.pdf | ISSN: | 1017-0405 | e-ISSN: | 1996-8507 | ISI #: | 000223652100020 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2005 |
Appears in Collections: | Research publications |
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