Reference : On the appropriateness of marginal models for repeated measurements in clinical trials
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/24521
On the appropriateness of marginal models for repeated measurements in clinical trials
English
Lindsey, James mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Institut des sciences humaines et sociales >]
Lambert, Philippe mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
1998
Statistics in Medicine
17
447-469
Yes (verified by ORBi)
International
0277-6715
[en] 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.
http://hdl.handle.net/2268/24521
http://www3.interscience.wiley.com/journal/3116/abstract

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