Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Almirall says comparing SMART designs will increase treatment quality for children with autism

Thompson says America must "unchoose" policies that have led to mass incarceration

Alter says lack of access to administrative data is "big drag on research"


Knodel honored by Thailand's Chulalongkorn University

Susan Murphy to speak at U-M kickoff for data science initiative, Oct 6, Rackham

Andrew Goodman-Bacon, former trainee, wins 2015 Nevins Prize for best dissertation in economic history

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

Next Brown Bag

Monday, Oct 19 at noon, 6050 ISR
Rob Stephenson

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.

Browse | Search : All Pubs | Next