Sensitivity Analysis in Observational Research: Introducing the E-Value

• Published in: Annals of internal medicine Vol. 167; no. 4; p. 268
• Main Authors: VanderWeele, Tyler J, Ding, Peng
• Format: Journal Article
• Language: English
• Published: United States 15.08.2017
• Subjects: Confounding Factors (Epidemiology); Epidemiologic Research Design; Humans; Observational Studies as Topic - statistics & numerical data; Sensitivity and Specificity

Sensitivity analysis is useful in assessing how robust an association is to potential unmeasured or uncontrolled confounding. This article introduces a new measure called the "E-value," which is related to the evidence for causality in observational studies that are potentially subject to...