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

Abstract Details

Activity Number: 508
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Health Policy Statistics Section
Abstract - #306370
Title: Adjusting for Treatment Disparities in Observational Research
Author(s): Marshall M. Joffe*+
Companies: University of Pennsylvania
Address: 602 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104,
Keywords: causal inference ; disparities ; confounding ; direct effects
Abstract:

In comparing demographic groups on health outcomes, it is often of interest to examine the role that specified treatments play in determining those differences. In particular, we may be interested in determining what part of differences in outcomes would remain even were treatment of the two groups equalized, and what part of the differences in outcome are due to specified differences in the way the groups are treated. It is productive to consider these contrasts as the direct and indirect effects of the demographic group (even if we do not consider group membership as a manipulable variable). We consider how to formalize the quantities of interest, identifying assumptions, and possible estimation methods. To estimate these effects, we must control appropriately for confounders of the effect of the treatment.


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