JSM 2012 Home

JSM 2012 Online Program

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: 211
Type: Invited
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304528
Title: Targeted Data Adaptive Estimation of the Causal Dose Response Curve
Author(s): Ivan Diaz*+ and Mark van der Laan
Companies: University of California at Berkeley and University of California at Berkeley School of Public Health
Address: 101 Haviland Hall, Berkeley, CA, 94720,

The definition of a causal inference question under a non-parametric structural equation model requires the specification of a set of intervention variables usually called treatments or exposures. In spite of the fact that a large portion of the treatment variables are of a continuous nature, causal inference methods have centered the attention on the definition and estimation of parameters for either binary or categorical exposures. In this work we discuss the estimation of the causal dose-response curve (CDRC) for continuous treatments. The most widely used method for estimating the CDRC is given by marginal structural models (MSMs), and requires an a priori specification of a functional form (i.e., a model). MSMs estimates are valid if 1) the model is correct, or 2) the parameter is defined as a projection of the true CDRC on the model. However, MSMs are not satisfactory when the research interest relies on estimating the true CDRC. We present an algorithm that uses cross-validated targeted maximum likelihood estimators (CV-TMLE) of the risk of an estimator among a library of candidate estimators of the CDRC.

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.