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

PSC In The News

RSS Feed icon

Murphy on extending health support via a smart phone and JITAI

New analysis counters Shaefer's finding that households living on $2/day/person rose post welfare reform

Former trainee Herbert says residential squatters may be a good thing

More News

Highlights

Michigan ranked #12 on Business Insider's list of 50 best American colleges

Frey's new report explores how the changing US electorate could shape the next 5 presidential elections, 2016 to 2032

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

Next Brown Bag

PSC Brown Bags
will resume fall 2016

Susan A. Murphy photo

Screening Experiments for Developing Dynamic Treatment Regimes

Publication Abstract

Murphy, Susan A., and D. Bingham. 2009. "Screening Experiments for Developing Dynamic Treatment Regimes." Journal of the American Statistical Association, 104(485): 391-408.

Dynamic treatment regimes are time-varying treatments that individualize sequences of treatments to the patient. The construction of dynamic treatment regimes is challenging because a patient will be eligible for some treatment components only if he has not responded (or has responded) to other treatment components. In addition, there are usually a number of potentially useful treatment components and combinations thereof. In this article, we propose new methodology for identifying promising components and screening out negligible ones. First, we define causal factorial effects for treatment components that may be applied sequentially to a patient. Second, we propose experimental designs that can be used to study the treatment components. Surprisingly, modifications can be made to (fractional) factorial designs-more commonly found in the engineering statistics literature-for screening in this setting. Furthermore, we provide an analysis model that can be used to screen the factorial effects. We demonstrate the proposed methodology using examples motivated in the literature and also via a simulation study.

DOI:10.1198/jasa.2009.0119 (Full Text)

PMCID: PMC2892819. (Pub Med Central)

Country of focus: United States of America.

Browse | Search : All Pubs | Next