Marginal structural models: much ado about (almost) nothing
Author:
Publisher
Wiley
Subject
Public Health, Environmental and Occupational Health,Health Policy
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1365-2753.2011.01757.x/fullpdf
Reference16 articles.
1. The control of confounding by intermediate variables;Robins;Statistics in Medicine,1989
2. Marginal structural models as a tool for standardization;Sato;Epidemiology,2003
3. Estimation of direct causal effects;Petersen;Epidemiology,2006
4. Causal diagrams, information bias, and thought bias;Shahar;Pragmatic and Observational Research,2010
5. A definition of causal effect for epidemiological research;Hernán;Journal of Epidemiology and Community Health,2004
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