Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies.

By Sander Greenland. American Journal of Epidemiology, 2004

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Estimating Adjusted Risk Ratios for Matched and Unmatched Data: An Update (2011, background): “Here I discuss only standardized risk ratios from regression models (Lane and Nelder 1982; Flanders and Rhodes 1987; Greenland 2004; Rothman, Greenland, and Lash 2008, 442–446; Localio, Margolis, and Berlin 2007) to show how these can be estimated using the margins command.”
Empirical and counterfactual conditions for sufficient cause interactions (2008, methodology): “An event is a binary variable taking values in f0; 1g.”
Association of alcohol consumption with selected cardiovascular disease outcomes: a systematic review and meta-analysis (2011, background): “Because these transformations can underestimate the variance of the relative risks derived from the odds ratios,”
Methods for Estimating Adjusted Risk Ratios (2009, methodology): “…to be standardized to the distribution of the other variables, cancer stage in this example, in the regression model (Lane and Nelder 1982; Flanders and Rhodes 1987; Joffe and Greenland 1995; Greenland 1991a, 2004a; Localio, Margolis, and Berlin 2007; Rothman, Greenland, and Lash 2008, 442–446).”
Easy SAS calculations for risk or prevalence ratios and differences. (2005, methodology): “Here is an example of the code required to analyze the breast cancer survival data discussed by Greenland (2):”