References
- Ashmead, R. 2014. “Propensity Score Methods for Estimating Causal Effects from Complex Survey Data.” Ph.D. Dissertation, Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1417616653.
- Berg, E., J.K. Kim, and C. Sinner. 2016. “Imputation under Informative Sampling.” Journal of Survey Statistics and Methodology 4: 436–462. Doi: 10.1093/jssam/smw032.10.1093/jssam/smw032
- Breidt, F.J., G. Claeskens, and J.D. Opsomer. 2005. “Model-Assisted Estimation for Complex Surveys Using Penalised Splines.” Biometrika 92(4): 831–846. Doi: 10.1093/biomet/92.4.831.10.1093/biomet/92.4.831
- Cattaneo, M.D. 2010. “Efficient Semiparametric Estimation of Multi-valued Treatment Effects under Ignorability.” Journal of Econometrics 155(2): 138–154. Doi: 10.1016/j.jeconom.2009.09.023.10.1016/j.jeconom.2009.09.023
- DuGoff, E., M. Schuler, and E. Stuart. 2014. “Generalizing Observational Study Results: Applying Propensity Score Methods to Complex Surveys.” Health Services Research 49(1): 284–303. Doi: 10.1111/1475-6773.12090.10.1111/1475-6773.12090
- Fuller, W.A. 2009. Sampling Statistics, Vol. 56, John Wiley and Sons. Doi: 10.1002/9780470523551.10.1002/9780470523551
- Hahn, J. 1998. “On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects.” Econometrica 66(2): 315–331. Doi: 10.2307/2998560.10.2307/2998560
- Haziza, D. and J.N.K. Rao. 2006. “A Nonresponse Model Approach to Inference Under Imputation for Missing Survey Data.” Survey Methodology 32(1): 53. Doi: 12-001-X20060019257.
- Hirano, K., G. Imbens, and G. Ridder. 2003. “Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score.” Econometrica 71(4): 1161–1189. Doi: 10.1111/1468-0262.00442.10.1111/1468-0262.00442
- Horvitz, D.G. and D.J. Thompson. 1952. “A Generalization of Sampling Without Replacement From a Finite Universe.” Journal of the American Statistical Association 47: 663–685. Doi: 10.1080/01621459.1952.10483446.10.1080/01621459.1952.10483446
- Isaki, C.T. and W.A. Fuller. 1982. “Survey Design under the Regression Superpopulation Model.” Journal of the American Statistical Association 77: 89–96. Doi: 10.1080/01621459.1982.10477770.10.1080/01621459.1982.10477770
- Kim, J.K. and D. Haziza. 2014. “Doubly Robust Inference with Missing Data in Survey Sampling.” Statistica Sinica 24: 375–394. Doi: 10.5705/ss.2012.005.10.5705/ss.2012.005
- Kim, J.K. A. Navarro, and W. Fuller. 2006. “Replication Variance Estimation for Two-Phase Stratified Sampling.” Journal of the American Statistical Association 101: 312–320. Doi: 10.1198/016214505000000763.10.1198/016214505000000763
- Little, R.J.A. 1982. “Models for Nonresponse in Sample Surveys.” Journal of the American Statistical Association 77: 237–250. Doi: 10.1080/01621459.1982.10477792.10.1080/01621459.1982.10477792
- Lorentz, G. 1986. Approximating of Functions. New York: Chelsea Publishing Company. Doi: 10.1112/jlms/s1-43.1.570b.10.1112/jlms/s1-43.1.570b
- Pakes, A. and D. Pollard. 1989. “Simulation and the Asymptotics of Optimization Estimators.” Econometrica 57: 1027–1057. Doi: 10.2307/1913622.10.2307/1913622
- Pfeffermann, D. 2011. “Modelling of Complex Survey Data: Why Model? Why is it a Problem? How Can we Approach it?” Survey Methodology 37: 115–136. Retrieved from https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2011002/article/11602-eng.pdf?st=XWOwbI5k.
- Pfeffermann, D. and M. Sverchkov. 1999. “Parametric and Semiparametric Estimation of Regression Models Fitted to Survey Data.” Sankhya B 61: 166–186. Retrieved from http://www.jstor.org/stable/25053074.
- Robins, J., M. Sued, Q. Lei-Gomez, and A. Rotnitzky. 2007. “Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable.” Statistical Science 22(4): 544–559. Doi: 10.1214/07-STS227D.10.1214/07-STS227
- Rosenbaum, P.R. and D.B. Rubin. 1983. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70: 41–55. Doi: 10.1093/biomet/70.1.41.10.1093/biomet/70.1.41
- Ridgeway, G., S.A. Kovalchik, B.A. Griffin, and M.U. Kabeto. 2015. “Propensity Score Analysis with Survey Weighted Data.” Journal of Causal Inference 3(2): 237–249. Doi: 10.1515/jci-2014-0039.10.1515/jci-2014-0039
- Särndal, C.E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. Springer. Doi: 10.1007/978-1-4612-4378-6.10.1007/978-1-4612-4378-6
- Tan, Z. 2006. “Regression and Weighting Methods for Causal Inference Using Instrumental Variables.” Journal of the American Statistical Association 101: 1607–1618. Doi: 10.1198/016214505000001366.10.1198/016214505000001366
- Tan, Z. 2008. “Bounded, Efficient, and Doubly Robust Estimation with Inverse Weighting.” Biometrika 94: 122. Doi: 10.1093/biomet/asq035.10.1093/biomet/asq035
- Yu, C., J. Legg, and B. Liu. 2013. “Estimating Multiple Treatment Effects Using Two-phase Semiparametric Regression Estimators.” Electronic Journal of Statistics 7(2013): 2737–2761. Doi: 10.1214/13-EJS856.10.1214/13-EJS856
- Zanutto, E. 2006. “A Comparison of Propensity Score and Linear Regression Analysis of Complex Survey Data.” Journal of Data Science 4: 67–91. Retrieved from http://www.jds-online.com/v4-1.