Article Correctness Is Author's Responsibility: Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies

This Guide to Statistics and Methods discusses E-value analysis, an alternative approach to sensitivity analyses for unmeasured confounding in observational studies that specifies the degree of unmeasured confounding that would need to be operative to negate observed results in a study.