TY - CHAP M1 - Book, Section TI - Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies A1 - Haneuse, Sebastien A1 - VanderWeele, Tyler J. A1 - Arterburn, David A2 - Livingston, Edward H. A2 - Lewis, Roger J. PY - 2019 T2 - JAMA Guide to Statistics and Methods AB - This JAMA 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. SN - PB - McGraw-Hill Education CY - New York, NY Y2 - 2024/03/29 UR - jamaevidence.mhmedical.com/content.aspx?aid=1184194913 ER -