Regression with R and Python — Chapter 13: Causal Analyses (pdf)
Regression with R and Python — Chapter 13: Causal Analyses
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Regression with R and Python — Chapter 13: Causal Analyses
Chapter 13 of Regression with R and Python by Per Johansson and Jiajing Sun: Causal Analyses. Includes the chapter lecture, teaching slides, and 20 review questions.
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Courselet Content
2 components
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802.72 K | |
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Regression with R and Python — Chapter 13: Causal Analyses (video)
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40 min |
Requirements
- Introductory statistics is helpful. R or Python can be used for the practical examples. Earlier chapters provide preparation for the later chapters.
General Overview
Description
Regression with R and Python — Chapter 13: Causal Analyses
Chapter 13 of Regression with R and Python by Per Johansson and Jiajing Sun: Causal Analyses. Includes the chapter lecture, teaching slides, and 20 review questions.
This chapter is part of Regression with R and Python: Description, Prediction, and Causal Analysis in Social Science and Medicine by Per Johansson and Jiajing Sun.
Watch the lecture and read the slides in Courselet Content, then complete the chapter quiz.
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