[gov3009-l] Tchetgen on "Doubly robust estimation in a semi-parametric odds ratio model"

Matt Blackwell mblackwell at iq.harvard.edu
Mon Oct 26 11:14:10 EDT 2009

Hello all,

We hope you can join us this Wednesday, October 28th when we will be
excited to have Eric Tchetgen Tchetgen, Assistant Professor of
Epidemiology at Harvard School of Public Health, presenting his work
titled "Doubly robust estimation in a semi-parametric odds ratio
model." Eric has provided the following abstract for the paper:

We consider the doubly robust estimation of the parameters in a
semi-parametric conditional odds ratio model characterizing the effect
of an exposure in the presence of many confounders. We develop
estimators that are consistent and asymptotically normal in a union
model where either a prospective baseline density function or a
retrospective baseline density function is correctly specified but not
necessarily both. The case of a binary outcome is of particular
interest, then our approach yields a doubly robust locally efficient
estimator in a semi-parametric logistic regression model   For general
types of outcomes, we provide a strategy to obtain doubly robust
estimators that are nearly locally efficient   We illustrate the
method in a simulation study and an application in statistical
genetics. Finally, we briefly discuss extensions of the proposed
method to the semi-parametric estimation of a parameter indexing an
interaction between two exposures on the logistic scale, as well as
extensions to the setting of a time-varying exposure in the presence
of time-varying confounding.

The workshop will begin, as usual, at 12 noon in room K354 of CGIS
Knafel (1737 Cambridge St). A light lunch will be served and we
usually wrap up around 1:30pm. We hope you can make it.


Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
email: mblackwell at iq.harvard.edu
url: http://people.fas.harvard.edu/~blackwel/

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