Causal Inference Is Not Just a Statistics Problem-Reference-Cited by-同舟云学术

Causal Inference Is Not Just a Statistics Problem

Published:2023-12 Issue: Volume: Page:1-6
ISSN:2693-9169
Container-title:Journal of Statistics and Data Science Education
language:en
Short-container-title:Journal of Statistics and Data Science Education

Author:

D’Agostino McGowan Lucy¹,Gerke Travis²,Barrett Malcolm³

Affiliation:

1. Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC

2. The Prostate Cancer Clinical Trials Consortium, New York, NY

3. Department of Mathematics & Statistics, American University, Washington, DC

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Education,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/26939169.2023.2276446

Reference19 articles.

1. Graphs in Statistical Analysis

2. Biecek P. Baniecki H. and Krzyznski M. (2023) “Performance Is Not Enough: A Story of the Rashomon’s Quartet ” arXiv preprint arXiv:2302.13356.

3. D’Agostino McGowan L. (2023) “quartets: Datasets to Help Teach Statistics ” availabe at https://github.com/r-causal/quartets; https://r-causal.github.io/quartets/.

4. To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias

5. Causality and Statistical LearningCounterfactuals and Causal Inference: Methods and Principles for Social Research. By Stephen L. Morgan and Christopher Winship. New York: Cambridge University Press, 2007. Pp. xiii+319.Causality: Models, Reasoning, and Inference, 2d ed. By Judea Pearl. Cambridge: Cambridge University Press, 2009. Pp. xix+464.Causal Models: How People Think About the World and Its Alternatives. By Steven A. Sloman. Oxford: Oxford University Press, 2005. Pp. xi+212.

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