Sensitivity Analysis Without Assumptions

Unmeasured confounding may undermine the validity of causal inference with observational studies. Sensitivity analysis provides an attractive way to partially circumvent this issue by assessing the potential influence of unmeasured confounding on causal conclusions. However, previous sensitivity ana...

Full description

Bibliographic Details

Published in:	Epidemiology (Cambridge, Mass.) Vol. 27; no. 3; p. 368
Main Authors:	Ding, Peng, VanderWeele, Tyler J
Format:	Journal Article
Language:	English
Published:	United States 01.05.2016
Subjects:	Causality Confounding Factors, Epidemiologic Epidemiologic Methods Humans Risk Statistics as Topic
ISSN:	1531-5487, 1531-5487
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!