메뉴 건너뛰기




Volumn 32, Issue 2, 2016, Pages 259-265

A Review of Propensity-Score Methods and Their Use in Cardiovascular Research

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOVASCULAR DISEASE; CLINICAL ASSESSMENT; CLINICAL RESEARCH; COVARIANCE; HUMAN; MEDICAL LITERATURE; OBSERVATIONAL STUDY; PROBABILITY; PROPENSITY SCORE; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; STATISTICAL BIAS; STRATIFIED SAMPLE; SYSTEMATIC ERROR; CARDIOLOGY; CARDIOVASCULAR DISEASES; COMPUTER SIMULATION; MEDICAL RESEARCH; PUBLICATION; STATISTICS AND NUMERICAL DATA;

EID: 84959115499     PISSN: 0828282X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cjca.2015.05.015     Document Type: Review
Times cited : (223)

References (32)
  • 1
    • 0032539329 scopus 로고    scopus 로고
    • Understanding controlled trials. Why are randomised controlled trials important?
    • Sibbald B., Roland M. Understanding controlled trials. Why are randomised controlled trials important?. BMJ 1998, 316:201.
    • (1998) BMJ , vol.316 , pp. 201
    • Sibbald, B.1    Roland, M.2
  • 2
    • 3543135271 scopus 로고    scopus 로고
    • Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
    • D'Agostino R.B. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med 1998, 17:2265-2281.
    • (1998) Stat Med , vol.17 , pp. 2265-2281
    • D'Agostino, R.B.1
  • 3
    • 79960537835 scopus 로고    scopus 로고
    • An overview of the objectives of and the approaches to propensity score analyses
    • Heinze G., Juni P. An overview of the objectives of and the approaches to propensity score analyses. Eur Heart J 2011, 32:1704-1708.
    • (2011) Eur Heart J , vol.32 , pp. 1704-1708
    • Heinze, G.1    Juni, P.2
  • 4
    • 34247629651 scopus 로고    scopus 로고
    • Propensity scores in cardiovascular research
    • D'Agostino R.B. Propensity scores in cardiovascular research. Circulation 2007, 115:2340-2343.
    • (2007) Circulation , vol.115 , pp. 2340-2343
    • D'Agostino, R.B.1
  • 5
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum P.R., Rubin D.B. 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
  • 6
    • 44649173785 scopus 로고    scopus 로고
    • A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
    • Austin P.C. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Stat Med 2008, 27:2037-2049.
    • (2008) Stat Med , vol.27 , pp. 2037-2049
    • Austin, P.C.1
  • 7
    • 84880905009 scopus 로고    scopus 로고
    • Renal outcomes associated with invasive vs conservative management of acute coronary syndrome: propensity matched cohort study
    • James M.T., Tonelli M., Ghali W.A., et al. Renal outcomes associated with invasive vs conservative management of acute coronary syndrome: propensity matched cohort study. BMJ 2013, 347:f4151.
    • (2013) BMJ , vol.347 , pp. f4151
    • James, M.T.1    Tonelli, M.2    Ghali, W.A.3
  • 8
    • 34948904387 scopus 로고    scopus 로고
    • Effectiveness and safety of drug-eluting stents in Ontario
    • Tu J.V., Bowen J., Chiu M., et al. Effectiveness and safety of drug-eluting stents in Ontario. N Engl J Med 2007, 357:1393-1402.
    • (2007) N Engl J Med , vol.357 , pp. 1393-1402
    • Tu, J.V.1    Bowen, J.2    Chiu, M.3
  • 9
    • 77957236374 scopus 로고    scopus 로고
    • The timing of surgery influences mortality and morbidity in adults with severe complicated infective endocarditis: a propensity analysis
    • Thuny F., Beurtheret S., Mancini J., et al. The timing of surgery influences mortality and morbidity in adults with severe complicated infective endocarditis: a propensity analysis. Eur Heart J 2011, 32:2027-2033.
    • (2011) Eur Heart J , vol.32 , pp. 2027-2033
    • Thuny, F.1    Beurtheret, S.2    Mancini, J.3
  • 10
    • 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 P.C. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. J Thorac Cardiovasc Surg 2007, 134:1128-1135.
    • (2007) J Thorac Cardiovasc Surg , vol.134 , pp. 1128-1135
    • Austin, P.C.1
  • 11
    • 67249139797 scopus 로고    scopus 로고
    • Primer on statistical interpretation or methods. report card on propensity-score matching in the cardiology literature from 2004 to 2006: a systematic review
    • Austin P.C. Primer on statistical interpretation or methods. report card on propensity-score matching in the cardiology literature from 2004 to 2006: a systematic review. Circ Cardiovasc Qual Outcomes 2008, 1:62-67.
    • (2008) Circ Cardiovasc Qual Outcomes , vol.1 , pp. 62-67
    • Austin, P.C.1
  • 12
    • 0033567210 scopus 로고    scopus 로고
    • Invited commentary: propensity scores
    • Joffe M.M., Rosenbaum P.R. Invited commentary: propensity scores. Am J Epidemiol 1999, 150:327-333.
    • (1999) Am J Epidemiol , vol.150 , pp. 327-333
    • Joffe, M.M.1    Rosenbaum, P.R.2
  • 13
    • 79958704133 scopus 로고    scopus 로고
    • An introduction to propensity score methods for reducing the effects of confounding in observational studies
    • Austin P.C. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res 2011, 46:399-424.
    • (2011) Multivariate Behav Res , vol.46 , pp. 399-424
    • Austin, P.C.1
  • 14
    • 79951791644 scopus 로고    scopus 로고
    • A tutorial and case study in propensity score analysis: an application to estimating the effect of in-hospital smoking cessation counseling on mortality
    • Austin P.C. A tutorial and case study in propensity score analysis: an application to estimating the effect of in-hospital smoking cessation counseling on mortality. Multivariate Behav Res 2011, 46:119-151.
    • (2011) Multivariate Behav Res , vol.46 , pp. 119-151
    • Austin, P.C.1
  • 15
    • 33846842327 scopus 로고    scopus 로고
    • A comparison of the ability of different propensity score models to balance measured variables between treated and untreated participants: a Monte Carlo study
    • Austin P.C., Grootendorst P., Anderson G.M. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated participants: a Monte Carlo study. Stat Med 2007, 26:734-753.
    • (2007) Stat Med , vol.26 , pp. 734-753
    • Austin, P.C.1    Grootendorst, P.2    Anderson, G.M.3
  • 16
    • 33645236260 scopus 로고    scopus 로고
    • Variable selection for propensity score models
    • Brookhart M.A., Schneeweiss S., Rothman K.J., et al. Variable selection for propensity score models. Am J Epidemiol 2006, 163:1149-1156.
    • (2006) Am J Epidemiol , vol.163 , pp. 1149-1156
    • Brookhart, M.A.1    Schneeweiss, S.2    Rothman, K.J.3
  • 17
    • 1842429563 scopus 로고    scopus 로고
    • Nonparametric estimation of average treatment effects under exogeneity: a review
    • Imbens G.W. Nonparametric estimation of average treatment effects under exogeneity: a review. Rev Econ Stat 2004, 86:4-29.
    • (2004) Rev Econ Stat , vol.86 , pp. 4-29
    • Imbens, G.W.1
  • 18
    • 40549104115 scopus 로고    scopus 로고
    • Misunderstandings among experimentalists and observationalists about causal inference
    • Accessed Feb 24
    • Imai K, King G, Stuart EA. Misunderstandings among experimentalists and observationalists about causal inference. J R Stat Soc, Series A 171, part 2:481-502. Available at . Accessed Feb 24, 2015. http://ssrn.com/abstract=1013351.
    • (2015) J R Stat Soc, Series , vol.A 171 , pp. 481-502
    • Imai, K.1    King, G.2    Stuart, E.A.3
  • 19
    • 59649105576 scopus 로고    scopus 로고
    • Goodness-of-fit diagnostics for the propensity-score model when estimating treatment effects using covariate adjustment with the propensity score
    • Austin P.C. Goodness-of-fit diagnostics for the propensity-score model when estimating treatment effects using covariate adjustment with the propensity score. Pharmacoepidemiol Drug Saf 2008, 17:1202-1217.
    • (2008) Pharmacoepidemiol Drug Saf , vol.17 , pp. 1202-1217
    • Austin, P.C.1
  • 20
    • 70449365700 scopus 로고    scopus 로고
    • Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity score matched samples
    • Austin P.C. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity score matched samples. Stat Med 2009, 28:3083-3107.
    • (2009) Stat Med , vol.28 , pp. 3083-3107
    • Austin, P.C.1
  • 22
    • 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 P.C. Optimal caliper widths for propensity score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat 2011, 10:150-161.
    • (2011) Pharm Stat , vol.10 , pp. 150-161
    • Austin, P.C.1
  • 23
    • 0034100672 scopus 로고    scopus 로고
    • Substantial gains in bias reduction from matching with a variable number of controls
    • Ming K., Rosenbaum P.R. Substantial gains in bias reduction from matching with a variable number of controls. Biometrics 2000, 56:118-124.
    • (2000) Biometrics , vol.56 , pp. 118-124
    • Ming, K.1    Rosenbaum, P.R.2
  • 24
    • 84896729825 scopus 로고    scopus 로고
    • The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments
    • Austin P.C. The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Stat Med 2014, 33:1242-1258.
    • (2014) Stat Med , vol.33 , pp. 1242-1258
    • Austin, P.C.1
  • 25
    • 10844272375 scopus 로고    scopus 로고
    • On principles for modeling propensity scores in medical research
    • Rubin D.B. On principles for modeling propensity scores in medical research. Pharmacoepidemiol Drug Saf 2004, 13:855-857.
    • (2004) Pharmacoepidemiol Drug Saf , vol.13 , pp. 855-857
    • Rubin, D.B.1
  • 26
    • 84879167098 scopus 로고    scopus 로고
    • The performance of different propensity score methods for estimating marginal hazard ratios
    • Austin P.C. The performance of different propensity score methods for estimating marginal hazard ratios. Stat Med 2013, 32:2837-2849.
    • (2013) Stat Med , vol.32 , pp. 2837-2849
    • Austin, P.C.1
  • 27
    • 84923985833 scopus 로고    scopus 로고
    • The performance of different propensity score methods for estimating absolute effects of treatments on survival outcomes: a simulation study
    • [e-pub ahead of print]
    • Austin P.C., Schuster T. The performance of different propensity score methods for estimating absolute effects of treatments on survival outcomes: a simulation study. Stat Methods Med Res 2014, [e-pub ahead of print].
    • (2014) Stat Methods Med Res
    • Austin, P.C.1    Schuster, T.2
  • 28
    • 84856105622 scopus 로고    scopus 로고
    • Metabolic syndrome affects midterm outcome after coronary artery bypass grafting
    • Angeloni E., Melina G., Benedetto U., et al. Metabolic syndrome affects midterm outcome after coronary artery bypass grafting. Ann Thorac Surg 2012, 93:537-544.
    • (2012) Ann Thorac Surg , vol.93 , pp. 537-544
    • Angeloni, E.1    Melina, G.2    Benedetto, U.3
  • 29
    • 34249863765 scopus 로고    scopus 로고
    • The performance of different propensity score methods for estimating marginal odds ratios
    • Austin P.C. The performance of different propensity score methods for estimating marginal odds ratios. Stat Med 2007, 26:3078-3094.
    • (2007) Stat Med , vol.26 , pp. 3078-3094
    • Austin, P.C.1
  • 30
    • 84859819731 scopus 로고    scopus 로고
    • Comparative effectiveness of revascularization strategies
    • Weintraub W.S., Grau-Sepulveda M.V., Weiss J.M., et al. Comparative effectiveness of revascularization strategies. N Engl J Med 2012, 366:1467-1476.
    • (2012) N Engl J Med , vol.366 , pp. 1467-1476
    • Weintraub, W.S.1    Grau-Sepulveda, M.V.2    Weiss, J.M.3
  • 31
    • 72149119483 scopus 로고    scopus 로고
    • The relative ability of different propensity score methods to balance measured covariates between treated and untreated participants in observational studies
    • Austin P.C. The relative ability of different propensity score methods to balance measured covariates between treated and untreated participants in observational studies. Med Decis Making 2009, 29:661-677.
    • (2009) Med Decis Making , vol.29 , pp. 661-677
    • Austin, P.C.1
  • 32
    • 19144368778 scopus 로고    scopus 로고
    • The use of the propensity score for estimating treatment effects: administrative vs clinical data
    • Austin P.C., Mamdani M.M., Stukel T.A., Anderson G.M., Tu J.V. The use of the propensity score for estimating treatment effects: administrative vs clinical data. Stat Med 2005, 24:1563-1578.
    • (2005) Stat Med , vol.24 , pp. 1563-1578
    • Austin, P.C.1    Mamdani, M.M.2    Stukel, T.A.3    Anderson, G.M.4    Tu, J.V.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.