As discussed in example 7.34, it's sometimes preferable to match on propensity scores, rather than adjust for them as a covariate.SASWe use a suite of macros written by Jon Kosanke and Erik Bergstralh at the Mayo Clinic. The dist macro calculates the ...
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Example 7.34: Propensity scores and causal inference from observational studies
Propensity scores can be used to help make causal interpretation of observational data more plausible, by adjusting for other factors that may responsible for differences between groups. Heuristically, we estimate the probability of exposure, rather t...
Free Video Courses on R, Structural Equation Modelling, Causal Inference, and Regression from Uni Jena
The Department of methodology and Evaluation Research at Universität Jena has made available a set of free online video courses on data analysis.They cover topics that are particularly relevant to psychology and social science researchers, including ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).