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

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 

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Bibliographische Detailangaben
Veröffentlicht in:Statistics in medicine 2014-01, Vol.33 (2), p.209-218
Hauptverfasser: Schuemie, Martijn J., Ryan, Patrick B., DuMouchel, William, Suchard, Marc A., Madigan, David
Format: Artikel
Sprache:eng
Schlagworte:
Bias
Calibration
Chemical and Drug Induced Liver Injury - etiology
Clinical trials
Data Interpretation, Statistical
Female
Gastrointestinal Hemorrhage - etiology
Humans
hypothesis testing
Isoniazid - adverse effects
Male
Medical statistics
negative controls
observational studies
Observational Studies as Topic - methods
Research Design
Serotonin Uptake Inhibitors - adverse effects
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Beschreibung
Zusammenfassung:Often the literature makes assertions of medical product effects on the basis of ‘ p 
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.5925