Confusion over causality

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Из курса от партнера University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
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Welcome and Introduction to Causal Effects
This module focuses on defining causal effects using potential outcomes. A key distinction is made between setting/manipulating values and conditioning on variables. Key causal identifying assumptions are also introduced.

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  • Jason A. Roy, Ph.D.
    Jason A. Roy, Ph.D.
    Professor of Biostatistics
    Department of Biostatistics and Epidemiology

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