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PDFTheory and methods
Estimating the potential impacts of intervention from observational data: methods for estimating causal attributable risk in a cross-sectional analysis of depressive symptoms in Latin America
- Correspondence to Ms. N L Fleischer, University of Michigan, Department of Epidemiology, Center for Social Epidemiology and Population Health, 109 South Observatory, 3rd Floor SPH Tower, Ann Arbor, MI 48109-2029; nancyfl{at}umich.edu
Citation
Estimating the potential impacts of intervention from observational data: methods for estimating causal attributable risk in a cross-sectional analysis of depressive symptoms in Latin America
Publication history
- Accepted May 16, 2009
- First published July 29, 2009.
Online issue publication
April 27, 2016
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