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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3200

Title: On the appropriateness of marginal models for repeated measurements in clinical trials
Authors: LINDSEY, James
LAMBERT, Philippe
Issue Date: 1998
Citation: STATISTICS IN MEDICINE, 17(4). p. 447-469
Abstract: Although models developed directly to describe marginal distributions have become widespread in the analysis of repeated measurements, some of their disadvantages are not well enough known. These include producing profile curves that correspond to no possible individual, possibly showing that a treatment is superior on average when it is poorer for each individual subject, implicitly generating complex and implausible physiological explanations, including underdispersion in subgroups, and sometimes corresponding to no possible probabilistic data generating mechanism. We conclude that such marginal models may sometimes be appropriate for descriptive observational studies, such as sample surveys in epidemiology, but should only be used with great care in causal experimental settings, such as clinical trials. (C) 1998 John Wiley & Sons, Ltd.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Univ Liege, Fac Econ Gest & Sci Sociales, Liege, Belgium.Lindsey, JK, Limburgs Univ Ctr, Univ Campus, B-3590 Diepenbeek, Belgium.jlindsey@luc.ac.be
URI: http://hdl.handle.net/1942/3200
ISI #: 000071921700004
ISSN: 0277-6715
Type: Journal Contribution
Validation: ecoom, 1999
Appears in Collections: Research publications

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