Monthly Archives: February 2019

Causal Inference Analysis

https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2019/02/hernanrobins_v1.10.38.pdf Basic identity of causal inference we can decompose the observed outcome of a treatment into two effects: Outcome for treated − Outcome for untreated = [Outcome for treated − Outcome for treated if not treated] + [Outcome for treated if not treated − Outcome for untreated] =Impact of treatment on treated +selection bias. The […]

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