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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 | Publisher: | JOHN WILEY & SONS LTD | Source: | 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 | Document URI: | http://hdl.handle.net/1942/3200 | ISI #: | 000071921700004 | Type: | Journal Contribution | Validations: | ecoom 1999 |
Appears in Collections: | Research publications |
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