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Voltar para Inferência causal

Comentários e feedback de alunos de Inferência causal da instituição Universidade Columbia

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Sobre o curso

This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study methods for collecting data to estimate causal relationships. Students will learn how to distinguish between relationships that are causal and non-causal; this is not always obvious. We shall then study and evaluate the various methods students can use — such as matching, sub-classification on the propensity score, inverse probability of treatment weighting, and machine learning — to estimate a variety of effects — such as the average treatment effect and the effect of treatment on the treated. At the end, we discuss methods for evaluating some of the assumptions we have made, and we offer a look forward to the extensions we take up in the sequel to this course....
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1 — 25 de 27 Avaliações para o Inferência causal

por Byron S

30 de out de 2018

por Seo-Woo C

15 de mai de 2019

por John S

3 de fev de 2020

por Yurong J

19 de abr de 2020

por Max B

26 de nov de 2018

por Agnes v B

4 de ago de 2019

por Raghav B

5 de jan de 2021

por Lucas B

6 de jun de 2019

por Guannan Y

25 de ago de 2020

por James M

24 de jan de 2022

por Vladislav K

12 de dez de 2020

por Charles H

16 de dez de 2018

por Yanghao W

18 de abr de 2020

por Fabio M

29 de mar de 2021

por Steve N

15 de mai de 2020

por Vikram D

28 de ago de 2022

por Germán A

9 de jan de 2021

por Maxim V

8 de abr de 2022

por Pablo A G V

12 de jun de 2020

por Víthor R F

16 de jan de 2020

por Weijia C

12 de jul de 2020

por Zerui Z

12 de dez de 2021

por Yizhi L

10 de abr de 2021

por Dale S

26 de abr de 2021

por Cecil C L

5 de mai de 2021