Welcome to "A Crash Course in Causality"

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배우게 될 기술

Instrumental Variable, Propensity Score Matching, Causal Inference, Causality

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4.7(159개의 평가)
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CE

Jul 16, 2017

Works best on double speed (from settings menu of each video). Content is delivered in clear and relatable manner using interesting real world examples.

WF

Nov 25, 2018

This course is quite useful for me to get quick understanding of the causality and causal inference in epidemiologic studies. Thanks to Prof. Roy.

수업에서
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.

강사:

  • Jason A. Roy, Ph.D.

    Jason A. Roy, Ph.D.

    Professor of Biostatistics

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