Causal inference at the population level

Azam Yazdani, Eric Boerwinkle

Abstract


Three elements are needed to formalize a causal quantity at the population level: response, treatment, and the causal element, which are introduced here by notation. Inclusion of two essential causal assumptions, the monitoring and illumination assumptions, in a function distinguishes causal from association analyses. The discussion provides insight into causal inference.


Keywords


Assignment mechanism, Causal inference, Observational study

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References


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