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Surprising findings on what influences unintended pregnancy from Wise, Geronimus and Smock

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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Mon, March 13, 2017, noon:
Rachel Best

A Conceptual Framework for Adaptive Preventive Interventions

Publication Abstract

Collins, L.M., Susan A. Murphy, and K.L. Bierman. 2004. "A Conceptual Framework for Adaptive Preventive Interventions." Prevention Science, 5(3): 185-196.

Recently, adaptive interventions have emerged as a new perspective on prevention and treatment. Adaptive interventions resemble clinical practice in that different dosages of certain prevention or treatment components are assigned to different individuals, and/or within individuals across time, with dosage varying in response to the intervention needs of individuals. To determine intervention need and thus assign dosage, adaptive interventions use prespecified decision rules based on each participant's values on key characteristics, called tailoring variables. In this paper, we offer a conceptual framework for adaptive interventions, discuss principles underlying the design and evaluation of such interventions, and review some areas where additional research is needed.

DOI:10.1023/B:PREV.0000037641.26017.00 (Full Text)

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