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Activity Number: 465
Type: Invited
Date/Time: Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM
Sponsor: Health Policy Statistics Section
Abstract #318077 View Presentation
Title: What Works in Boston May Not Work in Los Angeles: A Double Robust Transportability Estimator for Understanding Site Differences in Policy Interventions
Author(s): Kara Rudolph* and Mark van der Laan
Companies: University of California at Berkeley and University of California at Berkeley
Keywords: targeted maximum likelihood estimation ; transportability ; instrumental variables ; policy intervention

We develop double robust targeted maximum likelihood estimators (TMLE) for transporting intervention effects from one population to another. Specifically, we develop TMLE estimators for three transported estimands: intent-to-treat average treatment effect (ATE) and complier ATE, which are relevant for encouragement-design interventions and instrumental variable analyses, and the ATE of the exposure on the outcome, which is applicable to any randomized or observational study. We demonstrate finite sample performance of these TMLE estimators using simulation, including in the presence of practical violations of the positivity assumption. We then apply these methods to the Moving to Opportunity trial, a multi-site, encouragement-design intervention in which families in public housing were randomized to receive housing vouchers and logistical support to move to low-poverty neighborhoods. This application sheds light on whether effect differences across sites can be explained by differences in population composition.

Authors who are presenting talks have a * after their name.

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