Abstract Details
Activity Number:
|
491
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 7, 2013 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #308024 |
Title:
|
Semiparametric Estimation of Path-Specific Effects in the Presence of Unmeasured Confounding and Exposure-Induced Confounding
|
Author(s):
|
Caleb Miles*+ and Eric Tchetgen Tchetgen and Ilya Shpitser
|
Companies:
|
and Harvard University and University of Southampton
|
Keywords:
|
causal inference ;
mediation analysis ;
path-specific effects ;
semiparametric efficient ;
multiply robust ;
epidemiologic methods
|
Abstract:
|
Mediation analysis has in recent years received considerable attention in the causal inference literature. Previous literature mainly focused on decomposing a total effect into direct and indirect components mediated by an intermediate variable. Existing results have relied on an assumption of no exposure-induced confounding of the intermediate variable, and generally require no unmeasured confounding for nonparametric identification. In this talk, we relax both sets of assumptions and show that certain path-specific effects remain identified under weaker conditions. We focus on the path specific effect solely mediated by the intermediate in view and not by post-exposure confounders, and we propose a semiparametric, multiply-robust framework of inference, for which we provide stabilizing strategies for near-positivity violations. We illustrate with simulations and an HIV application.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.