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Interpreting observational studies: why empirical calibration is needed to correct p-values

Often the literature makes assertions of medical product effects on the basis of ‘ p < 0.05’. The underlying premise is that at this threshold, there is only a 5% probability that the observed effect would be seen by chance when in reality there is no effect. In observational studies, much more t...

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Detalles Bibliográficos
Autores principales: Schuemie, Martijn J, Ryan, Patrick B, DuMouchel, William, Suchard, Marc A, Madigan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285234/
https://www.ncbi.nlm.nih.gov/pubmed/23900808
http://dx.doi.org/10.1002/sim.5925

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