Start With the "C-Word," Follow the Roadmap for Causal Inference
- PMID: 29617622
- PMCID: PMC5888061
- DOI: 10.2105/AJPH.2018.304358
Start With the "C-Word," Follow the Roadmap for Causal Inference
Comment in
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The C-Word: The More We Discuss It, the Less Dirty It Sounds.Am J Public Health. 2018 May;108(5):625-626. doi: 10.2105/AJPH.2018.304392. Am J Public Health. 2018. PMID: 29617608 Free PMC article. No abstract available.
Comment on
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The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data.Am J Public Health. 2018 May;108(5):616-619. doi: 10.2105/AJPH.2018.304337. Epub 2018 Mar 22. Am J Public Health. 2018. PMID: 29565659 Free PMC article.
References
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- Heckman JJ, Vytlacil EJ. Handbook of Econometrics. Vol 6b. Amsterdam, The Netherlands: Elsevier; 2007. Econometric evaluation of social programs, part I: causal models, structural models and econometric policy evaluation; pp. 4779–4874.
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- Ahern J, Hubbard A. A roadmap for estimating and interpreting population intervention parameters. In: Oakes JM, Kaufman JS, editors. Methods in Social Epidemiology. San Francisco, CA: Jossey-Bass; 2017. pp. 432–457.
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- Robins J. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect. Math Model. 1986;7(9–12):1393–1512.
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- Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55.
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