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

In their current article in Annals, 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 of coffee intake and mortality, the editorialists discuss how the E-value can help researchers explore the possible influence of bias from unobserved factors.

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