This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 84
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308342
Title: Multiplicative Semiparametric Regression Model for Relative Risk with Application to Air Pollution Exposure
Author(s): Catherine Tuglus*+ and Kristin E. Porter and Mark J. Van der Laan
Companies: University of California, Berkeley and University of California, Berkeley and University of California, Berkeley
Address: , , , USA
Keywords: Relative Risk ; Semiparametric Regression ; Targeted Maximum Likelihood ; Double Robustness ; Air Pollution ; Causal Inference
Abstract:

The relative risk (RR) is a popular measure of the exposure or treatment effect on a binary outcome. When the outcome is common, estimation of the RR becomes problematic if the exposure or any of the covariates are continuous. We propose a new estimation procedure that targets the adjusted relative risk for common outcomes under a log-linear semiparametric model. Based on targeted Maximum Likelihood theory, the method provides double robust and locally efficient estimates of the adjusted RR with correct inference and causal interpretation under appropriate assumptions. The robustness of our estimator under model misspecification is compared to alternative methods (e.g. log-linear, Poisson regression) through simulation. We apply our method to a study of air pollution effects on respiratory health in children with asthma.


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 2010 program




2010 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.