Hypothetical interventions

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Получаемые навыки

Instrumental Variable, Propensity Score Matching, Causal Inference, Causality

Рецензии

4.7 (оценок: 145)
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    112 ratings
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    2 ratings
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.

Из урока
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.

Преподаватели

  • Jason A. Roy, Ph.D.

    Jason A. Roy, Ph.D.

    Professor of Biostatistics

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