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Sastry's 10-year study of New Orleans Katrina evacuees shows demographic differences between returning and nonreturning

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Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Bob Willis awarded 2015 Jacob Mincer Award for Lifetime Contributions to the Field of Labor Economics

David Lam is new director of Institute for Social Research

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Next Brown Bag

Monday, Oct 12
Joe Grengs, Policy & Planning for Social Equity in Transportation

Susan A. Murphy photo

Optimal Dynamic Treatment Regimes

Publication Abstract

Murphy, Susan A. 2003. "Optimal Dynamic Treatment Regimes." Journal of the Royal Statistical Society Series B-Statistical Methodology, 65(2): 331-366.

A dynamic treatment regime is a list of decision rules, one per time interval, for how the level of treatment will be tailored through time to an individual's changing status. The goal of this paper is to use experimental or observational data to estimate decision regimes that result in a maximal mean response. To explicate our objective and to state the assumptions, we use the potential outcomes model. The method proposed makes smooth parametric assumptions only on quantities that are directly relevant to the goal of estimating the optimal rules. We illustrate the methodology proposed via a small simulation.

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