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Volumn 18, Issue 13, 2013, Pages

Comparing propensity score methods in balancing covariates and recovering impact in small sample educational program evaluations

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EID: 84887584557     PISSN: None     EISSN: 15317714     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (41)

References (34)
  • 1
    • 78449311648 scopus 로고    scopus 로고
    • Bayesian propensity score estimators
    • An, W. (2010). Bayesian propensity score estimators. Sociological Methodology, 40(1), 151-189.
    • (2010) Sociological Methodology , vol.40 , Issue.1 , pp. 151-189
    • An, W.1
  • 2
    • 44649173785 scopus 로고    scopus 로고
    • A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
    • Austin, P. (2007). A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine, 27, 2037-2049.
    • (2007) Statistics in Medicine , vol.27 , pp. 2037-2049
    • Austin, P.1
  • 3
    • 77956314484 scopus 로고    scopus 로고
    • The performance of different propensityscore methods for estimating differences in proportions (risk differences or absolute risk reduction) in observational studies
    • Austin, P. (2010). The performance of different propensityscore methods for estimating differences in proportions (risk differences or absolute risk reduction) in observational studies. Statistics in Medicine, 29, 2137-2148.
    • (2010) Statistics in Medicine , vol.29 , pp. 2137-2148
    • Austin, P.1
  • 4
    • 72849137787 scopus 로고    scopus 로고
    • Local and global optimal propensity score matching
    • Paper
    • Coca-Perraillon, M. (2007). Local and global optimal propensity score matching. SUGI Global Forum 2007. Paper 185-2007.
    • (2007) SUGI Global Forum 2007 , pp. 185-2007
    • Coca-Perraillon, M.1
  • 7
    • 3543135271 scopus 로고    scopus 로고
    • Tutorial in biostatistics: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
    • D'Agostino, R.B. (1998). Tutorial in biostatistics: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17, 2265-2281.
    • (1998) Statistics in Medicine , vol.17 , pp. 2265-2281
    • D'Agostino, R.B.1
  • 8
    • 46249111567 scopus 로고    scopus 로고
    • Weighting regressions by propensity scores
    • Freedman, D.A., & Berk, R.A. (2008). Weighting regressions by propensity scores. Evaluation Review, 32(4), 392-409.
    • (2008) Evaluation Review , vol.32 , Issue.4 , pp. 392-409
    • Freedman, D.A.1    Berk, R.A.2
  • 9
    • 0003138938 scopus 로고
    • Comparison of multivariate matching methods: structures, distances, and algorithms
    • Gu, X. S. & Rosenbaum, P. R. (1993). Comparison of multivariate matching methods: structures, distances, and algorithms. Journal of Computational and Graphical Statistics, 2(4), 405-420.
    • (1993) Journal of Computational and Graphical Statistics , vol.2 , Issue.4 , pp. 405-420
    • Gu, X.S.1    Rosenbaum, P.R.2
  • 11
    • 77956807205 scopus 로고    scopus 로고
    • Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research
    • Harder, V.S., Stuart, E. A., & Anthony, J. C. (2010). Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research. Psychological Methods, 15(3), 234 - 249.
    • (2010) Psychological Methods , vol.15 , Issue.3 , pp. 234-249
    • Harder, V.S.1    Stuart, E.A.2    Anthony, J.C.3
  • 12
    • 33644867915 scopus 로고    scopus 로고
    • The scientific model of causality
    • Heckman, J.J. (2005). The scientific model of causality. Sociological Methodology, 35, 1-97.
    • (2005) Sociological Methodology , vol.35 , pp. 1-97
    • Heckman, J.J.1
  • 13
    • 1842429563 scopus 로고    scopus 로고
    • Nonparametric estimation of average treatment effects under exogeneity: A review
    • Imbens, G.W. (2004). Nonparametric estimation of average treatment effects under exogeneity: A review. The Review of Economics and Statistics, 86, 4-29.
    • (2004) The Review of Economics and Statistics , vol.86 , pp. 4-29
    • Imbens, G.W.1
  • 14
    • 46249131752 scopus 로고    scopus 로고
    • Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
    • Kang, J. D. Y., & Schafer, J. L. (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Science, 22, 523-539.
    • (2007) Statistical Science , vol.22 , pp. 523-539
    • Kang, J.D.Y.1    Schafer, J.L.2
  • 16
    • 56749152677 scopus 로고    scopus 로고
    • A comparison of propensity score estimation and adjustment methods on simulated data
    • Unpublished Dissertation, University of Memphis
    • Luellen, J.K. (2007). A comparison of propensity score estimation and adjustment methods on simulated data. Unpublished Dissertation, University of Memphis.
    • (2007)
    • Luellen, J.K.1
  • 17
    • 28444464482 scopus 로고    scopus 로고
    • Propensity scores: An introduction and experimental test
    • Luellen, J.K., Shadish, W.R., & Clark, M.H. (2005). Propensity scores: An introduction and experimental test. Evaluation Review, 29(6), 530-558.
    • (2005) Evaluation Review , vol.29 , Issue.6 , pp. 530-558
    • Luellen, J.K.1    Shadish, W.R.2    Clark, M.H.3
  • 18
    • 10844272276 scopus 로고    scopus 로고
    • Propensity score estimation with boosted regression for evaluating causal effects in observational studies
    • McCaffrey, D.F., Ridgeway, G., & Morral, A.R. (2004). Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychological Methods, 9(4), 403-425.
    • (2004) Psychological Methods , vol.9 , Issue.4 , pp. 403-425
    • McCaffrey, D.F.1    Ridgeway, G.2    Morral, A.R.3
  • 19
  • 20
    • 0003262670 scopus 로고    scopus 로고
    • Reducing bias in a propensity score matched-pair sample using greedy matching techniques
    • Cary, NC: SAS Institute Inc. Retrieved from
    • Parsons, L.S. (2001). Reducing bias in a propensity score matched-pair sample using greedy matching techniques. Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc. Retrieved from: http://www2.sas.com/proceedings/sugi26/p214-26.pdf.
    • (2001) Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference
    • Parsons, L.S.1
  • 22
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies
    • Rosenbaum, P.R., & Rubin, D.B. (1983). The central role of the propensity score in observational studies. Biometrika, 70, 41-45.
    • (1983) Biometrika , vol.70 , pp. 41-45
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 23
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • Rosenbaum, P.R, & Rubin, D.B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516-524.
    • (1984) Journal of the American Statistical Association , vol.79 , pp. 516-524
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 24
    • 84945581878 scopus 로고
    • Constructing a control group using multivariate matched sampling that incorporates the propensity score
    • Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling that incorporates the propensity score. The American Statistician, 39, 33-38.
    • (1985) The American Statistician , vol.39 , pp. 33-38
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 25
    • 0030862072 scopus 로고    scopus 로고
    • Estimating causal effects from large data sets using propensity scores
    • Rubin, D.B. (1997). Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine, 127, 757-763.
    • (1997) Annals of Internal Medicine , vol.127 , pp. 757-763
    • Rubin, D.B.1
  • 26
    • 0035761763 scopus 로고    scopus 로고
    • Using propensity scores to help design observational studies: application to the tobacco litigation
    • Rubin, D.B. (2001). Using propensity scores to help design observational studies: application to the tobacco litigation. Health Services and Outcomes Research Methodology, 2, 169-188.
    • (2001) Health Services and Outcomes Research Methodology , vol.2 , pp. 169-188
    • Rubin, D.B.1
  • 27
    • 50249111771 scopus 로고    scopus 로고
    • Consider Propensity Scores to Compare Treatments
    • Available online
    • Rudner, LM.., & Peyton, J. (2006). Consider Propensity Scores to Compare Treatments. Practical Assessment Research & Evaluation, 11(9). Available online: http://pareonline.net/getvn.asp?v=11&n=9
    • (2006) Practical Assessment Research & Evaluation , vol.11 , Issue.9
    • Rudner, L.M.1    Peyton, J.2
  • 28
    • 69249240631 scopus 로고    scopus 로고
    • SAS., Institute, Inc. [Computer software]. Cary, NC: Author
    • SAS Institute Inc. (2008). SAS (Version 9.2) [Computer software]. Cary, NC: Author.
    • (2008) SAS (Version 9.2)
  • 29
    • 57749105474 scopus 로고    scopus 로고
    • Average causal effects from nonrandomized studies: A practical guide and simulated example
    • Schafer, J.L. & Kang, J. (2008). Average causal effects from nonrandomized studies: A practical guide and simulated example. Psychological Methods, 13, 279-313.
    • (2008) Psychological Methods , vol.13 , pp. 279-313
    • Schafer, J.L.1    Kang, J.2
  • 30
    • 47249090227 scopus 로고    scopus 로고
    • Estimating causal effects using experimental and observational designs (report from the Governing Board of the American Educational Research Association Grants Program)
    • Washington, DC: American Educational Research Association
    • Schneider, B., Carnoy, M., Kilpatrick, J., Schmidt, W.H., & Shavelson, R. J. 2007. Estimating causal effects using experimental and observational designs (report from the Governing Board of the American Educational Research Association Grants Program), Washington, DC: American Educational Research Association.
    • (2007)
    • Schneider, B.1    Carnoy, M.2    Kilpatrick, J.3    Schmidt, W.H.4    Shavelson, R.J.5
  • 31
    • 0003411739 scopus 로고    scopus 로고
    • Experimental and quasi-experimental designs for generalized causal inference
    • Belmont, CA: Wadsworth
    • Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Belmont, CA: Wadsworth.
    • (2002)
    • Shadish, W.R.1    Cook, T.D.2    Campbell, D.T.3
  • 32
    • 77956791074 scopus 로고    scopus 로고
    • The importance of covariate selection in controlling for selection bias in observational studies
    • Steiner, P.M., Shadish, W.R., Cook, T.D., & Clark, M.H. (2010). The importance of covariate selection in controlling for selection bias in observational studies. Psychological Methods, 15(1), 250-267.
    • (2010) Psychological Methods , vol.15 , Issue.1 , pp. 250-267
    • Steiner, P.M.1    Shadish, W.R.2    Cook, T.D.3    Clark, M.H.4
  • 33
    • 34547459508 scopus 로고    scopus 로고
    • How close is close enough? Evaluating propensity score matching using data from a class size reduction experiment
    • Wilde, E.T., & Hollister, R. (2007). How close is close enough? Evaluating propensity score matching using data from a class size reduction experiment. Journal of Policy Analysis and Management, 26(3), 455-477.
    • (2007) Journal of Policy Analysis and Management , vol.26 , Issue.3 , pp. 455-477
    • Wilde, E.T.1    Hollister, R.2
  • 34
    • 84887584557 scopus 로고    scopus 로고
    • Comparing Propensity Score Methods in Balancing Covariates and Recovering Impact in Small Sample Educational Program Evaluations
    • Available online
    • Stone, Clement A. & Tang, Yun (2013). Comparing Propensity Score Methods in Balancing Covariates and Recovering Impact in Small Sample Educational Program Evaluations. Practical Assessment, Research & Evaluation, 18(13). Available online: http://pareonline.net/getvn.asp?v=18&n=13
    • (2013) Practical Assessment Research & Evaluation , vol.18 , Issue.13
    • Stone, C.A.1    Tang, Y.2


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