567
Views
2
CrossRef citations to date
0
Altmetric
Applications and Case Studies

Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder

, &

References

  • Bind, M. A. C., and Rubin, D. B. (2018), “Bridging Observational Studies and Randomized Experiments by Embedding the Former in the Latter,” Statistical Methods in Medical Research, in press.
  • Box, G. E. P. (1976), “Science and Statistics,” Journal of the American Statistical Association, 71, 791–799. DOI: 10.1080/01621459.1976.10480949.
  • Crump, R. K., Hotz, V. J, Imbens, G. W., and Mitnik, O. A. (2009), “Dealing With Limited Overlap in Estimation of Average Treatment Effects,” Biometrika, 96, 187–199. DOI: 10.1093/biomet/asn055.
  • Li, F., Morgan, K. L., and Zaslavsky, A. M. (2017), “Balancing Covariates via Propensity Score Weighting,” Journal of the American Statistical Association, 113, 390–400. DOI: 10.1080/01621459.2016.1260466.
  • Little, R. J. (2018), “On Algorithmic and Modeling Approaches to Imputation in Large Data Sets,” Statistica Sinica (to appear).
  • Mattei, A., Ricciardi, F., and Mealli, F. (2017), “Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability,” arXiv no. 1608.07180, pp. 1–28.
  • Robins, J. M., and Wasserman, L. A. (2013), “Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs,” arXiv no. 1302.1566.
  • Shortreed, S. M., and Ertefaie, A. (2017), “Outcome-Adaptive Lasso: Variable Selection for Causal Inference,” Biometrics, 73, 1111–1122. DOI: 10.1111/biom.12679.
  • Tan, Y. V., Flannagan, C. A. C., and Elliott, M. R. (forthcoming), “‘Robust-Squared’ Imputation Models Using BART,” Journal of Survey Statistics and Methodology (to appear).
  • Zhou, T. (2018), “Robust Methods for Causal Inference Using Penalized Splines,” Ph.D. thesis, University of Michigan, Ann Arbor, MI.
  • Zigler, C. M., and Dominici, F. (2014), “Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model Averaged Causal Effects,” Journal of the American Statistical Association, 109, 95–107. DOI: 10.1080/01621459.2013.869498.

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.