References
Austin, Peter. 2008. “A Critical Appraisal of Propensity-Score Matching in the Medical Literature Between 1996 and 2003.” Statistics in Medicine 27: 2037–49.
Bryer, Jason. 2017. TriMatch: Propensity Score Matching of Non-Binary Treatments. http://jason.bryer.org/TriMatch.
———. 2018. multilevelPSA: Multilevel Propensity Score Analysis. http://github.com/jbryer/multilevelPSA.
———. 2023. PSAboot: Bootstrapping for Propensity Score Analysis. https://github.com/jbryer/PSAboot.
Cleveland, William S. 1979. “Robust Locally Weighted Regression and Smoothing Scatterplots.” Journal of the American Statistical Association 74 (368): 829–36. https://doi.org/10.1080/01621459.1979.10481038.
Cohen, Jacob. 1988. Statistical Power for the Behavioral Sciences (2nd Ed.). New York, NY: Academic Press.
Dehejia, Rajeev H., and Sadek Wahba. 1999. “Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs.” Journal of the American Statistical Association 94 (448): 1053–62.
Efron, B. 1979. “Bootstrap Methods: Another Look at the Jackknife.” The Annals of Statistics 7 (1). https://doi.org/10.1214/aos/1176344552.
Helmreich, James, and Robert Pruzek. 2023. PSAgraphics: Propensity Score Analysis Graphics. https://jbryer.github.io/PSAgraphics/.
Ho, Daniel, Kosuke Imai, Gary King, Elizabeth Stuart, and Noah Greifer. 2023. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. https://kosukeimai.github.io/MatchIt/.
Holland, Paul W. 1986. “Statistics and Causal Inference.” Journal of the American Statistical Association 81 (396): 945–60.
Hothorn, Torsten, Kurt Hornik, Carolin Strobl, and Achim Zeileis. 2023. Party: A Laboratory for Recursive Partytioning. http://party.R-forge.R-project.org.
Imai, Kosuke, and David A van Dyk. 2004. “Causal Inference with General Treatment Regimes.” Journal of the American Statistical Association 99 (467): 854–66. https://doi.org/10.1198/016214504000001187.
Lalonde, R. 1986. “Evaluating the Econometric Evaluations of Training Programs with Experimental Data.” American Economic Review 76: 604–20.
Li, Liang, and Tom Greene. 2013. “A Weighting Analogue to Pair Matching in Propensity Score Analysis.” The International Journal of Biostatistics 9 (2). https://doi.org/10.1515/ijb-2012-0030.
McGowan, Lucy Elizabeth D’Agostino. 2018. “Improving Modern Techniques of Causal Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation for ATO Estimators, and Contextualized Tipping Point Sensitivity Analyses for Unmeasured Confounding.” PhD thesis, Vanderbilt University.
Neyman, Jerzy. 1923. “Sur Les Applications de La Theorie Des Probabilites Aux Experiences Agricoles: Essai Des Principes.” PhD thesis, University of Warsaw.
R Core Team. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rosenbaum, P. R. 2012. “Testing One Hypothesis Twice in Observational Studies.” Biometrika 99 (4): 763–74. https://doi.org/10.1093/biomet/ass032.
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.
Rubin, Donald B. 1974. “Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies.” Journal of Educational Psychology 66 (5): 688–701. https://doi.org/10.1037/h0037350.
Samuels, Lauren Ruth. 2017. “Aspects of Causal Inference Within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching.” PhD thesis, Vanderbilt University.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2021. GGally: Extension to Ggplot2. https://ggobi.github.io/ggally/.
Singh Sekhon, Jasjeet, and Theo Saarinen. 2023. Matching: Multivariate and Propensity Score Matching with Balance Optimization. https://github.com/JasjeetSekhon/Matching.
Therneau, Terry, and Beth Atkinson. 2023. Rpart: Recursive Partitioning and Regression Trees. https://github.com/bethatkinson/rpart.
Thoemmes, F. J., and E. S. Kim. 2011. “A Systematic Review of Propensity Score Methods in the Social Sciences.” Multivariate Behavioral Research 46: 90–118.
Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science. O’Reilly Media.