1,896
Views
6
CrossRef citations to date
0
Altmetric
Comments

Comment on “Blessings of Multiple Causes”

, &
Pages 1611-1615 | Received 11 Oct 2019, Accepted 29 Oct 2019, Published online: 03 Jan 2020

References

  • Angrist, J. D., and Pischke, J.-S. (2008), Mostly Harmless Econometrics: An Empiricist’s Companion, Princeton, NJ: Princeton University Press.
  • Bickel, P. J., Klaassen, C. A., Bickel, P. J., Ritov, Y., Klaassen, J., Wellner, J. A., and Ritov, Y. (1993), Efficient and Adaptive Estimation for Semiparametric Models (Vol. 4), Baltimore, MD: Johns Hopkins University Press.
  • Cole, S. R., Platt, R. W., Schisterman, E. F., Chu, H., Westreich, D., Richardson, D., and Poole, C. (2009), “Illustrating Bias due to Conditioning on a Collider,” International Journal of Epidemiology, 39, 417–420. DOI: https://doi.org/10.1093/ije/dyp334.
  • D’Amour, A. (2019), “On Multi-Cause Causal Inference With Unobserved Confounding: Counterexamples, Impossibility, and Alternatives,” arXiv no. 1902.10286.
  • Elwert, F., and Winship, C. (2014), “Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable,” Annual Review of Sociology, 40, 31–53. DOI: https://doi.org/10.1146/annurev-soc-071913-043455.
  • Gagnon-Bartsch, J. A., Jacob, L., and Speed, T. P. (2013), “Removing Unwanted Variation From High Dimensional Data With Negative Controls,” Tech Reports from Dep Stat Univ California, Berkeley, pp. 1–112.
  • Hernan, M. A., and Robins, J. M. (2020), Causal Inference, Boca Raton, FL: Chapman & Hall/CRC.
  • Kallenberg, O. (1997), Foundations of Modern Probability, New York: Springer.
  • Kuroki, M., and Pearl, J. (2014), “Measurement Bias and Effect Restoration in Causal Inference,” Biometrika, 101, 423–437. DOI: https://doi.org/10.1093/biomet/ast066.
  • Pearl, J. (2000), Causality: Models, Reasoning and Inference (Vol. 29), New York: Springer.
  • Perkovic, E., Textor, J., Kalisch, M., and Maathuis, M. H. (2015), “A Complete Generalized Adjustment Criterion,” in Proceedings of the Thirty First Conference on Uncertainty in Artificial Intelligence (UAI-15), AUAI Press.
  • Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., and Reich, D. (2006), “Principal Components Analysis Corrects for Stratification in Genome-Wide Association Studies,” Nature Genetics, 38, 904. DOI: https://doi.org/10.1038/ng1847.
  • Robins, J. M. (2001), “Data, Design, and Background Knowledge in Etiologic Inference,” Epidemiology, 12, 313–320. DOI: https://doi.org/10.1097/00001648-200105000-00011.
  • Shpitser, I., VanderWeele, T., and Robins, J. M. (2010), “On the Validity of Covariate Adjustment for Estimating Causal Effects,” in Proceedings of the Twenty Sixth Conference on Uncertainty in Artificial Intelligence (UAI-10), AUAI Press, pp. 527–536.
  • Wang, J., Zhao, Q., Hastie, T., and Owen, A. B. (2017), “Confounder Adjustment in Multiple Hypothesis Testing,” The Annals of Statistics, 45, 1863–1894. DOI: https://doi.org/10.1214/16-AOS1511.
  • Wang, Y., and Blei, D. (2019), “Blessings of Multiple Causes,” Journal of the American Statistical Association, 114, this issue, DOI: https://doi.org/10.1080/01621459.2019.1686987.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.