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Volumn 33, Issue 6, 2014, Pages 1057-1069

A comparison of 12 algorithms for matching on the propensity score

Author keywords

Computer algorithms; Matching; Monte Carlo simulations; Optimal matching; Propensity score; Propensity score matching

Indexed keywords

COMPUTER ALGORITHMS; MATCHING; MONTE CARLO SIMULATIONS; OPTIMAL MATCHING; PROPENSITY SCORE; PROPENSITY-SCORE MATCHING;

EID: 84893777424     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6004     Document Type: Article
Times cited : (750)

References (25)
  • 1
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983; 70: 41-55.
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 3
    • 35448972461 scopus 로고    scopus 로고
    • Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement
    • Austin PC. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. Journal of Thoracic and Cardiovascular Surgery 2007; 134(5):1128-1135.
    • (2007) Journal of Thoracic and Cardiovascular Surgery , vol.134 , Issue.5 , pp. 1128-1135
    • Austin, P.C.1
  • 4
    • 44649173785 scopus 로고    scopus 로고
    • A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
    • Austin PC. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine 2008; 27(12):2037-2049.
    • (2008) Statistics in Medicine , vol.27 , Issue.12 , pp. 2037-2049
    • Austin, P.C.1
  • 5
    • 79951805837 scopus 로고    scopus 로고
    • A systematic review of propensity score methods in the social sciences
    • Thoemmes FJ, Kim ES. A systematic review of propensity score methods in the social sciences. Multivariate Behavioral Research 2011; 46(1):90-118.
    • (2011) Multivariate Behavioral Research , vol.46 , Issue.1 , pp. 90-118
    • Thoemmes, F.J.1    Kim, E.S.2
  • 6
    • 67249139797 scopus 로고    scopus 로고
    • A report card on propensity-score matching in the cardiology literature from 2004 to 2006: a systematic review and suggestions for improvement
    • Austin PC. A report card on propensity-score matching in the cardiology literature from 2004 to 2006: a systematic review and suggestions for improvement. Circulation: Cardiovascular Quality and Outcomes 2008; 1: 62-67.
    • (2008) Circulation: Cardiovascular Quality and Outcomes , vol.1 , pp. 62-67
    • Austin, P.C.1
  • 7
    • 1842429563 scopus 로고    scopus 로고
    • Nonparametric estimation of average treatment effects under exogeneity: a review
    • Imbens GW. Nonparametric estimation of average treatment effects under exogeneity: a review. Review of Economics and Statistics 2004; 86: 4-29.
    • (2004) Review of Economics and Statistics , vol.86 , pp. 4-29
    • Imbens, G.W.1
  • 9
    • 84945581878 scopus 로고
    • Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
    • Rosenbaum PR, Rubin DB. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician 1985; 39: 33-38.
    • (1985) The American Statistician , vol.39 , pp. 33-38
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 10
    • 60849116685 scopus 로고    scopus 로고
    • Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulations
    • Austin PC. Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulations. Biometrical Journal 2009; 51(1):171-184.
    • (2009) Biometrical Journal , vol.51 , Issue.1 , pp. 171-184
    • Austin, P.C.1
  • 11
    • 77958600686 scopus 로고    scopus 로고
    • Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies
    • Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical Statistics 2011; 10: 150-161.
    • (2011) Pharmaceutical Statistics , vol.10 , pp. 150-161
    • Austin, P.C.1
  • 14
    • 85081455678 scopus 로고    scopus 로고
    • Quality of cardiac care in Ontario, Institute for Clinical Evaluative Sciences: Toronto, Ontario
    • Tu JV, Donovan LR, Lee DS, Austin PC, Ko DT, Wang JT, Newman AM. Quality of cardiac care in Ontario, Institute for Clinical Evaluative Sciences: Toronto, Ontario, 2004.
    • (2004)
    • Tu, J.V.1    Donovan, L.R.2    Lee, D.S.3    Austin, P.C.4    Ko, D.T.5    Wang, J.T.6    Newman, A.M.7
  • 15
    • 77349087330 scopus 로고    scopus 로고
    • A data-generation process for data with specified risk differences or numbers needed to treat
    • DOI: 10.1080/03610910903528301.
    • Austin PC. A data-generation process for data with specified risk differences or numbers needed to treat. Communications in Statistics - Simulation and Computation 2010; 39: 563-577. DOI: 10.1080/03610910903528301.
    • (2010) Communications in Statistics - Simulation and Computation , vol.39 , pp. 563-577
    • Austin, P.C.1
  • 16
    • 33645226210 scopus 로고    scopus 로고
    • A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods
    • Sturmer T, Joshi M, Glynn RJ, Avorn J, Rothman KJ, Schneeweiss S. A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. Journal of Clinical Epidemiology 2006; 59(5):437-447.
    • (2006) Journal of Clinical Epidemiology , vol.59 , Issue.5 , pp. 437-447
    • Sturmer, T.1    Joshi, M.2    Glynn, R.J.3    Avorn, J.4    Rothman, K.J.5    Schneeweiss, S.6
  • 17
    • 33846842327 scopus 로고    scopus 로고
    • A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
    • Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Statistics in Medicine 2007; 26(4):734-753.
    • (2007) Statistics in Medicine , vol.26 , Issue.4 , pp. 734-753
    • Austin, P.C.1    Grootendorst, P.2    Anderson, G.M.3
  • 18
    • 84865349347 scopus 로고
    • Standard distance in univariate and multivariate analysis
    • Flury BK, Riedwyl H. Standard distance in univariate and multivariate analysis. The American Statistician 1986; 40: 249-251.
    • (1986) The American Statistician , vol.40 , pp. 249-251
    • Flury, B.K.1    Riedwyl, H.2
  • 19
    • 70449365700 scopus 로고    scopus 로고
    • Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
    • Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine 2009; 28(25):3083-3107.
    • (2009) Statistics in Medicine , vol.28 , Issue.25 , pp. 3083-3107
    • Austin, P.C.1
  • 20
    • 84896729825 scopus 로고    scopus 로고
    • A tutorial on the use of propensity scoremethods with survival or time-to-event outcomes: Reporting measures of effect similar to those used in randomized experiments
    • In press. DOI: 10.1002/sim.5984.
    • Austin PC. A tutorial on the use of propensity scoremethods with survival or time-to-event outcomes: Reporting measures of effect similar to those used in randomized experiments. Statistics in Medicine In press. DOI: 10.1002/sim.5984.
    • Statistics in Medicine
    • Austin, P.C.1
  • 21
    • 33745466638 scopus 로고    scopus 로고
    • A comparison of propensity scoremethods: A case-study estimating the effectiveness of post-AMI statin use
    • DOI: 10.1002/sim.2328.
    • Austin PC, Mamdani MM. A comparison of propensity scoremethods: A case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine 2006; 25: 2084-2106. DOI: 10.1002/sim.2328.
    • (2006) Statistics in Medicine , vol.25 , pp. 2084-2106
    • Austin, P.C.1    Mamdani, M.M.2
  • 22
    • 33745588280 scopus 로고    scopus 로고
    • Interval estimation for treatment effects using propensity score matching
    • Hill J, Reiter JP. Interval estimation for treatment effects using propensity score matching. Statistics in Medicine 2006; 25(13):2230-2256.
    • (2006) Statistics in Medicine , vol.25 , Issue.13 , pp. 2230-2256
    • Hill, J.1    Reiter, J.P.2
  • 23
    • 0034100672 scopus 로고    scopus 로고
    • Substantial gains in bias reduction from matching with a variable number of controls
    • Ming K, Rosenbaum PR. Substantial gains in bias reduction from matching with a variable number of controls. Biometrics 2000; 56(1):118-124.
    • (2000) Biometrics , vol.56 , Issue.1 , pp. 118-124
    • Ming, K.1    Rosenbaum, P.R.2
  • 24
    • 0003138938 scopus 로고
    • Comparison of multivariate matching methods: structures, distances, and algorithms
    • Gu XS, Rosenbaum PR. Comparison of multivariate matching methods: structures, distances, and algorithms. Journal of Computational and Graphical Statistics 1993; 2: 405-420.
    • (1993) Journal of Computational and Graphical Statistics , vol.2 , pp. 405-420
    • Gu, X.S.1    Rosenbaum, P.R.2
  • 25
    • 77958523826 scopus 로고    scopus 로고
    • Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity score
    • Austin PC. Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity score. American Journal of Epidemiology 2010; 172(9):1092-1097.
    • (2010) American Journal of Epidemiology , vol.172 , Issue.9 , pp. 1092-1097
    • Austin, P.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.