Confounding

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강의 계획서 보기

배우게 될 기술

Instrumental Variable, Propensity Score Matching, Causal Inference, Causality

검토

4.7(163개의 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
Confounding and Directed Acyclic Graphs (DAGs)
This module introduces directed acyclic graphs. By understanding various rules about these graphs, learners can identify whether a set of variables is sufficient to control for confounding.

강사:

  • Jason A. Roy, Ph.D.

    Jason A. Roy, Ph.D.

    Professor of Biostatistics

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