Causal assumptions

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Destrezas que aprenderás

Instrumental Variable, Propensity Score Matching, Causal Inference, Causality

Reseñas

4.7 (369 calificaciones)

  • 5 stars
    78,59 %
  • 4 stars
    18,15 %
  • 3 stars
    1,35 %
  • 2 stars
    0,81 %
  • 1 star
    1,08 %

LL

8 de abr. de 2021

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The course is very simply explained, definitely a great introduction to the subject. There are some missing links, but minor compared to overall usefulness of the course.

OE

29 de jul. de 2020

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I enjoyed the course a lot and I think I took a lot from it as well. The quizzes and computer projects were appropriate, and the resourcees posted were very useful.

De la lección

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.

Impartido por:

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    Jason A. Roy, Ph.D.

    Professor of Biostatistics

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