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Am J Public Health. 2011 Jan;101(1):40-5. doi: 10.2105/AJPH.2010.198937. Epub 2010 Nov 18.

Dynamic treatment regimes for managing chronic health conditions: a statistical perspective.

Author information

  • Department of Biostatistics, Columbia University, New York, NY 10032, USA. bc2425@columbia.edu

Abstract

Dynamic treatment regimes are an emerging and important methodological area in health research, particularly in the management of chronic health conditions. This paradigm encompasses the ideological shift in research from the acute care model to the chronic care model. It allows individualization of treatment (type, dosage, timing) at each stage of intervention. Constructing evidence-based dynamic treatment regimes requires implementation of cutting-edge design and analysis tools. Here I briefly discuss some of these modern tools, namely the sequential multiple assignment randomized trial (SMART) design and a regression-based analysis approach called Q-learning.

PMID:
21088260
[PubMed - indexed for MEDLINE]
PMCID:
PMC3000720
Free PMC Article
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