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Optimal dynamic treatment regimes

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  • S. A. Murphy
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    Abstract

    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. Copyright 2003 Royal Statistical Society.

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    Bibliographic Info

    Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series B (Statistical Methodology).

    Volume (Year): 65 (2003)
    Issue (Month): 2 ()
    Pages: 331-355

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    Handle: RePEc:bla:jorssb:v:65:y:2003:i:2:p:331-355

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    Cited by:
    1. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
    2. Keisuke Hirano & Jack R. Porter, 2012. "Impossibility Results for Nondifferentiable Functionals," Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, 07.
    3. Jane Cooley Fruehwirth & Salvador Navarro & Yuya Takahashi, 2011. "How The Timing of Grade Retention Affects Outcomes: Identification and Estimation of Time-Varying Treatment Effects," Working Papers 2011-015, Human Capital and Economic Opportunity Working Group.
    4. Michael Lechner & Stephan Wiehler, 2007. "Does the Order and Timing of Active Labor Market Programs Matter?," University of St. Gallen Department of Economics working paper series 2007 2007-38, Department of Economics, University of St. Gallen.
    5. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Markus Frölich, 2006. "Statistical Treatment Choice: An Application to Active Labour Market Programmes," University of St. Gallen Department of Economics working paper series 2006 2006-14, Department of Economics, University of St. Gallen.
    7. Michael Lechner & Stephan Wiehler, 2013. "Does the Order and Timing of Active Labour Market Programmes Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 180-212, 04.

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