Chevron Left
Voltar para A Crash Course in Causality: Inferring Causal Effects from Observational Data

Comentários e feedback de alunos de A Crash Course in Causality: Inferring Causal Effects from Observational Data da instituição Universidade da Pensilvânia

455 classificações

Sobre o curso

We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). At the end of the course, learners should be able to: 1. Define causal effects using potential outcomes 2. Describe the difference between association and causation 3. Express assumptions with causal graphs 4. Implement several types of causal inference methods (e.g. matching, instrumental variables, inverse probability of treatment weighting) 5. Identify which causal assumptions are necessary for each type of statistical method So join us.... and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!...

Melhores avaliações


11 de set de 2021

Great introduction on the causal analysis.The instructor did a great job on explaining the topic in a logical and rigorous way. R codes are very relevant and helpful to digest the material as well.


27 de dez de 2017

I really enjoyed this course, the pace could be more even in parts. Sometimes the pace could be more even and some more books/reference material for further study would be nice.

Filtrar por:

126 — 150 de 150 Avaliações para o A Crash Course in Causality: Inferring Causal Effects from Observational Data

por Patrick W D

15 de jul de 2018

por Maxim V

15 de nov de 2021

por Christopher R

10 de fev de 2019

por Ruixuan Z

22 de jun de 2019

por Alvaro F

25 de ago de 2020

por Yahia E

9 de jan de 2020

por Jeesoo J

25 de jan de 2021

por Chris C

28 de ago de 2018

por Manuel F

21 de out de 2018

por Naiqiao H

27 de fev de 2019

por Lorena L

2 de mai de 2021

por Fernando C

24 de nov de 2017

por Lyons B

20 de set de 2020

por Gavin M

4 de dez de 2020

por Javed A

27 de nov de 2020

por Juan C

7 de out de 2019

por Andrew L

28 de nov de 2019

por Robert S

17 de dez de 2021

por Enrique O M

4 de set de 2021

por Kasra S

14 de ago de 2021

por Ignacio S R

30 de abr de 2018

por Francisco P

30 de mai de 2019

por Scott M

16 de fev de 2022

por Siyu H

14 de fev de 2021

por Eva Y G

28 de set de 2019