Chevron Left
Zurück zu A Crash Course in Causality: Inferring Causal Effects from Observational Data

Bewertung und Feedback des Lernenden für A Crash Course in Causality: Inferring Causal Effects from Observational Data von University of Pennsylvania

4.7
Sterne
457 Bewertungen

Über den Kurs

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!...

Top-Bewertungen

WJ

11. Sep. 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.

MF

27. Dez. 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.

Filtern nach:

26 - 50 von 151 Bewertungen für A Crash Course in Causality: Inferring Causal Effects from Observational Data

von Carla F G

10. Okt. 2021

von Haim T

1. Apr. 2021

von Florian C

30. Sep. 2021

von seyed r m

21. Mai 2022

von Amine M

27. Juli 2021

von Anthony M

26. Aug. 2021

von Adeyemo o m

16. Apr. 2022

von Piyush J

14. Apr. 2020

von Frank O

21. Nov. 2021

von Vikram M

30. Mai 2019

von Vlad V

20. Apr. 2018

von Hugo E R R

20. Jan. 2021

von Pritish K

16. Mai 2020

von Arnab S

24. Nov. 2017

von Alice G

21. Feb. 2021

von Weifeng J

12. Sep. 2021

von lorenzo c

9. Apr. 2021

von Anastasia G

21. Feb. 2021

von Keshab S

4. Apr. 2021

von ALEXANDER G

18. Feb. 2022

von Giulio B

12. März 2021

von Георгий А

15. Dez. 2021

von Oksana B

28. Nov. 2021

von Andrew

15. Mai 2018

von Yi H

27. Aug. 2022