Sensitivity Analysis for Unmeasured Confounding: E-Values for Observational Studies

Authors :: A. Russell Localio
Michael Griswold
Catherine B. Stack
Source :: Annals of Internal Medicine. 167:285
Publication Year :: 2017
Publisher :: American College of Physicians, 2017.
Abstract: VanderWeele and Ding introduce the “E-value” as a simple measure of the potential for bias arising from unmeasured confounders in observational studies. Using an example of an observational study o...

Subjects :: Confounding Factors (Epidemiology)
business.industry
Extramural
Confounding
Confounding Factors, Epidemiologic
General Medicine
Sensitivity and Specificity
Observational Studies as Topic
03 medical and health sciences
0302 clinical medicine
Internal Medicine
Econometrics
Medicine
Observational study
030212 general & internal medicine
Sensitivity (control systems)
Unmeasured confounding
business
030217 neurology & neurosurgery

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