NDLI: Screening Experiments for Developing Dynamic Treatment Regimes

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Screening Experiments for Developing Dynamic Treatment Regimes

Content Provider	PubMed Central
Author	Murphy, S. A. Bingham, D.
Abstract	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.
Related Links	http://dx.doi.org/10.1198/jasa.2009.0119
Ending Page	408
Page Count	18
Starting Page	391
File Format	PDF
ISSN	01621459
e-ISSN	1537274X
Journal	Journal of the American Statistical Association
Issue Number	458
Volume Number	104
Language	English
Publisher Date	2009-03-01
Access Restriction	Open
Subject Keyword	Statistics, Probability and Uncertainty Statistics and Probability Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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