RT Book, Section
A1 Haneuse, Sebastien
A1 VanderWeele, Tyler J.
A1 Arterburn, David
A2 Livingston, Edward H.
A2 Lewis, Roger J.
SR Print(0)
ID 1184194913
T1 Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies
T2 JAMA Guide to Statistics and Methods
YR 2019
FD 2019
PB McGraw-Hill Education
PP New York, NY
SN 9781260455328
LK jamaevidence.mhmedical.com/content.aspx?aid=1184194913
RD 2024/04/24
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.