The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
652
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Nonparametric Statistics
|
| Abstract - #306859 |
|
Title:
|
TMLE for Marginal Structural Models Based on Instrument
|
|
Author(s):
|
Boriska Toth*+ and Mark van der Laan
|
|
Companies:
|
and University of California at Berkeley School of Public Health
|
|
Address:
|
1540 Milvia St., Berkeley, CA, 94709, United States
|
|
Keywords:
|
instrumental variables ;
causal inference ;
confounding ;
non-parametric ;
efficiency theory ;
biostatistics
|
|
Abstract:
|
We consider estimation of a causal effect of a possibly continuous treatment when treatment assignment is potentially subject to unmeasured confounding, but an instrument is available. Our semiparametric structural equation for the outcome as a function of treatment and covariates assumes that the effect of treatment is linear, conditional on the observed baseline covariates. This weakens the commonly made linearity assumption. The structural equation also assumes that the conditional mean of its error, given the instrument and baseline covariates, equals zero, which is the typical instrumental variable assumption. We establish identifiability of marginal causal effects of the treatment as defined by projections of the true causal dose-response curve onto a user supplied working marginal structural model. We derive the efficient influence curve of the resulting statistical parameter/e
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 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.