Principled causal inference methods can be used to compare the effects of different exposures or treatments we have observed in non-experimental settings. These methods, which include matching (with or without propensity scores), inverse probability weighting, and various g-methods, help us create...
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Scooped by
Greg Deckler
January 2, 2019 10:52 AM
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Oh yeah? Well...you're confounding!