메뉴 건너뛰기




Volumn 33, Issue 7, 2014, Pages 1242-1258

The use of propensity score methods with survival or time-to-event outcomes: Reporting measures of effect similar to those used in randomized experiments

Author keywords

Confounding; Event history analysis; Inverse probability of treatment weighting; Marginal effects; Observational study; Propensity score; Propensity score matching; Survival analysis

Indexed keywords

HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

EID: 84896729825     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5984     Document Type: Article
Times cited : (1073)

References (64)
  • 1
    • 77950189829 scopus 로고    scopus 로고
    • Consort 2010 Statement: updated guidelines for reporting parallel group randomised trials
    • DOI: 10.1136/bmj.c332.
    • Schulz KF, Altman DG, Moher D.Consort 2010 Statement: updated guidelines for reporting parallel group randomised trials. British Medical Journal 2010; 340:c332. DOI: 10.1136/bmj.c332.
    • (2010) British Medical Journal , vol.340
    • Schulz, K.F.1    Altman, D.G.2    Moher, D.3
  • 2
    • 79951474347 scopus 로고    scopus 로고
    • A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: a review
    • DOI: 10.2202/1557-4679.1285.Article 6
    • Austin PC, Laupacis A. A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: a review. International Journal of Biostatistics 2011; 7(1):Article 6. DOI: 10.2202/1557-4679.1285.
    • (2011) International Journal of Biostatistics , vol.7 , Issue.1
    • Austin, P.C.1    Laupacis, A.2
  • 3
    • 0023887476 scopus 로고
    • An assessment of clinically useful measures of the consequences of treatment
    • Laupacis A, Sackett DL, Roberts RS. An assessment of clinically useful measures of the consequences of treatment. New England Journal of Medicine 1988; 318:1728-1733.
    • (1988) New England Journal of Medicine , vol.318 , pp. 1728-1733
    • Laupacis, A.1    Sackett, D.L.2    Roberts, R.S.3
  • 4
    • 0028908929 scopus 로고
    • The number needed to treat: a clinically useful measure of treatment effect
    • Cook RJ, Sackett DL. The number needed to treat: a clinically useful measure of treatment effect. British Medical Journal 1995; 310(6977):452-454.
    • (1995) British Medical Journal , vol.310 , Issue.6977 , pp. 452-454
    • Cook, R.J.1    Sackett, D.L.2
  • 6
    • 72749123968 scopus 로고    scopus 로고
    • A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals
    • Austin PC, Manca A, Zwarenstein M, Juurlink DN, Stanbrook MB. A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals. Journal of Clinical Epidemiology 2010; 63(2):142-153.
    • (2010) Journal of Clinical Epidemiology , vol.63 , Issue.2 , pp. 142-153
    • Austin, P.C.1    Manca, A.2    Zwarenstein, M.3    Juurlink, D.N.4    Stanbrook, M.B.5
  • 8
    • 33846253571 scopus 로고    scopus 로고
    • The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
    • Rubin DB. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials. Statistics in Medicine 2007; 26(1):20-36.
    • (2007) Statistics in Medicine , vol.26 , Issue.1 , pp. 20-36
    • Rubin, D.B.1
  • 9
    • 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
  • 10
    • 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
  • 11
    • 0035906286 scopus 로고    scopus 로고
    • Use of the CONSORT statement and quality of reports of randomized trials: a comparative before-and-after evaluation
    • Moher D, Jones A, Lepage L. Use of the CONSORT statement and quality of reports of randomized trials: a comparative before-and-after evaluation. Journal of the American Medical Association 2001; 285:1992-1995.
    • (2001) Journal of the American Medical Association , vol.285 , pp. 1992-1995
    • Moher, D.1    Jones, A.2    Lepage, L.3
  • 12
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomized and nonrandomized studies
    • Rubin DB. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 1974; 66:688-701.
    • (1974) Journal of Educational Psychology , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 13
    • 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
  • 14
    • 4444230264 scopus 로고    scopus 로고
    • Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
    • Lunceford JK, Davidian M. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine 2004; 23(19):2937-2960.
    • (2004) Statistics in Medicine , vol.23 , Issue.19 , pp. 2937-2960
    • Lunceford, J.K.1    Davidian, M.2
  • 15
    • 0023203943 scopus 로고
    • Interpretation and choice of effect measures in epidemiologic analyses
    • Greenland S.Interpretation and choice of effect measures in epidemiologic analyses. American Journal of Epidemiology 1987; 125(5):761-768.
    • (1987) American Journal of Epidemiology , vol.125 , Issue.5 , pp. 761-768
    • Greenland, S.1
  • 17
    • 77956891487 scopus 로고
    • Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
    • Gail MH, Wieand S, Piantadosi S. Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika 1984; 7:431-444.
    • (1984) Biometrika , vol.7 , pp. 431-444
    • Gail, M.H.1    Wieand, S.2    Piantadosi, S.3
  • 18
    • 0002512643 scopus 로고
    • A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data
    • Neuhaus JM, Kalbfleish JD, Hauck WW. A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data. International Statistical Review 1991; 59(1):25-35.
    • (1991) International Statistical Review , vol.59 , Issue.1 , pp. 25-35
    • Neuhaus, J.M.1    Kalbfleish, J.D.2    Hauck, W.W.3
  • 19
    • 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
  • 21
    • 79958704133 scopus 로고    scopus 로고
    • An introduction to propensity-score methods for reducing the effects of confounding in observational studies
    • DOI: 10.1080/00273171.2011.568786.
    • Austin PC. An introduction to propensity-score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research 2011; 46:399-424. DOI: 10.1080/00273171.2011.568786.
    • (2011) Multivariate Behavioral Research , vol.46 , pp. 399-424
    • Austin, P.C.1
  • 22
    • 33645217214 scopus 로고    scopus 로고
    • Propensity score
    • In Armitage P, Colton T (eds). John Wiley & Sons: Boston
    • Rosenbaum PR. Propensity score. In Encyclopedia of Biostatistics. Armitage P, Colton T (eds). John Wiley & Sons: Boston, 2005; 4267-4272.
    • (2005) Encyclopedia of Biostatistics , pp. 4267-4272
    • Rosenbaum, P.R.1
  • 24
    • 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
  • 25
    • 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
  • 26
    • 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
  • 27
    • 4944238507 scopus 로고    scopus 로고
    • Full matching in an observational study of coaching for the SAT
    • Hansen BB. Full matching in an observational study of coaching for the SAT. Journal of the American Statistical Association 2004; 99(467):609-618.
    • (2004) Journal of the American Statistical Association , vol.99 , Issue.467 , pp. 609-618
    • Hansen, B.B.1
  • 28
    • 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
  • 29
    • 77957806232 scopus 로고    scopus 로고
    • Matching methods for causal inference: a review and a look forward
    • Stuart EA. Matching methods for causal inference: a review and a look forward. Statistical Science 2010; 25(1):1-21.
    • (2010) Statistical Science , vol.25 , Issue.1 , pp. 1-21
    • Stuart, E.A.1
  • 30
    • 84879167098 scopus 로고    scopus 로고
    • The performance of different propensity score methods for estimating marginal hazard ratios
    • DOI: 10.1002/sim.5705.
    • Austin PC. The performance of different propensity score methods for estimating marginal hazard ratios. Stastisics in Medicine 2013; 32(16):2837-2849. DOI: 10.1002/sim.5705.
    • (2013) Stastisics in Medicine , vol.32 , Issue.16 , pp. 2837-2849
    • Austin, P.C.1
  • 31
    • 67249097811 scopus 로고    scopus 로고
    • Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses
    • DOI: 10.2202/1557-4679.1146.
    • Austin PC. Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses. International Journal of Biostatistics 2009; 5(1). DOI: 10.2202/1557-4679.1146.
    • (2009) International Journal of Biostatistics , vol.5 , Issue.1
    • Austin, P.C.1
  • 32
    • 79955639125 scopus 로고    scopus 로고
    • Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples
    • Austin PC. Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples. Statistics in Medicine 2011; 30(11):1292-1301.
    • (2011) Statistics in Medicine , vol.30 , Issue.11 , pp. 1292-1301
    • Austin, P.C.1
  • 33
    • 84861097401 scopus 로고    scopus 로고
    • Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study
    • DOI: 10.1002/pst.537.
    • Gayat E, Resche-Rigon M, Mary JY, Porcher R.Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study. Pharmaceutical Statistics 2012; 11(3):222-229. DOI: 10.1002/pst.537.
    • (2012) Pharmaceutical Statistics , vol.11 , Issue.3 , pp. 222-229
    • Gayat, E.1    Resche-Rigon, M.2    Mary, J.Y.3    Porcher, R.4
  • 35
    • 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
  • 37
    • 44649125859 scopus 로고    scopus 로고
    • Linear rank tests in survival analysis
    • In Armitage P, Colton T (eds). John Wiley & Sons: New York, NY
    • Harrington D.Linear rank tests in survival analysis. In Encyclopedia of Biostatistics. Armitage P, Colton T (eds). John Wiley & Sons: New York, NY, 2005; 2802-2812.
    • (2005) Encyclopedia of Biostatistics , pp. 2802-2812
    • Harrington, D.1
  • 40
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology 2000; 11(5):550-560.
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 550-560
    • Robins, J.M.1    Hernan, M.A.2    Brumback, B.3
  • 42
    • 27144479267 scopus 로고    scopus 로고
    • Adjusted Kaplan-Meier estimator and log-rank test with inverse probability of treatment weighting for survival data
    • Xie J, Liu C. Adjusted Kaplan-Meier estimator and log-rank test with inverse probability of treatment weighting for survival data. Statistics in Medicine 2005; 24(20):3089-3110.
    • (2005) Statistics in Medicine , vol.24 , Issue.20 , pp. 3089-3110
    • Xie, J.1    Liu, C.2
  • 43
    • 8744315994 scopus 로고    scopus 로고
    • Model selection, confounder control, and marginal structural models: Review and new applications
    • Joffe MM, Ten Have TR, Feldman HI, Kimmel SE. Model selection, confounder control, and marginal structural models: Review and new applications. The American Statistician 2004; 58:272-279.
    • (2004) The American Statistician , vol.58 , pp. 272-279
    • Joffe, M.M.1    Ten Have, T.R.2    Feldman, H.I.3    Kimmel, S.E.4
  • 44
    • 79953304087 scopus 로고    scopus 로고
    • Weight trimming and propensity score weighting
    • Lee BK, Lessler J, Stuart EA. Weight trimming and propensity score weighting. PLoS One 2011; 6(3):e18174.
    • (2011) PLoS One , vol.6 , Issue.3
    • Lee, B.K.1    Lessler, J.2    Stuart, E.A.3
  • 45
    • 54049137609 scopus 로고    scopus 로고
    • A diagnostic routine for the detection of consequential heterogeneity of causal effects
    • Morgan SL, Todd JL. A diagnostic routine for the detection of consequential heterogeneity of causal effects. Sociological Methodology 2008; 38:231-281.
    • (2008) Sociological Methodology , vol.38 , pp. 231-281
    • Morgan, S.L.1    Todd, J.L.2
  • 46
    • 33846813595 scopus 로고    scopus 로고
    • Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study
    • Austin PC, Grootendorst P, Normand SL, Anderson GM. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study. Statistics in Medicine 2007; 26(4):754-768.
    • (2007) Statistics in Medicine , vol.26 , Issue.4 , pp. 754-768
    • Austin, P.C.1    Grootendorst, P.2    Normand, S.L.3    Anderson, G.M.4
  • 47
    • 10844272375 scopus 로고    scopus 로고
    • On principles for modeling propensity scores in medical research
    • Rubin DB. On principles for modeling propensity scores in medical research. Pharmacoepidemiology and Drug Safety 2004; 13(12):855-857.
    • (2004) Pharmacoepidemiology and Drug Safety , vol.13 , Issue.12 , pp. 855-857
    • Rubin, D.B.1
  • 48
    • 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 PC. Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score. Pharmacoepidemiology and Drug Safety 2008; 17(12):1202-1217.
    • (2008) Pharmacoepidemiology and Drug Safety , vol.17 , Issue.12 , pp. 1202-1217
    • Austin, P.C.1
  • 49
    • 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
  • 50
    • 72149119483 scopus 로고    scopus 로고
    • The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studies
    • Austin PC. The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studies. Medical Decision Making 2009; 29(6):661-677.
    • (2009) Medical Decision Making , vol.29 , Issue.6 , pp. 661-677
    • Austin, P.C.1
  • 51
    • 77956314484 scopus 로고    scopus 로고
    • The performance of different propensity score methods for estimating difference in proportions (risk differences or absolute risk reductions) in observational studies
    • DOI: 10.1002/sim.3854.
    • Austin PC. The performance of different propensity score methods for estimating difference in proportions (risk differences or absolute risk reductions) in observational studies. Statistics in Medicine 2010; 29:2137-2148. DOI: 10.1002/sim.3854.
    • (2010) Statistics in Medicine , vol.29 , pp. 2137-2148
    • Austin, P.C.1
  • 52
    • 0001679041 scopus 로고
    • Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
    • Rosenbaum PR, Rubin DB. Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome. Journal of the Royal Statistical Society - Series B 1983; 45:212-218.
    • (1983) Journal of the Royal Statistical Society - Series B , vol.45 , pp. 212-218
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 55
    • 33745466638 scopus 로고    scopus 로고
    • A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use
    • Austin PC, Mamdani MM. A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine 2006; 25(12):2084-2106.
    • (2006) Statistics in Medicine , vol.25 , Issue.12 , pp. 2084-2106
    • Austin, P.C.1    Mamdani, M.M.2
  • 56
    • 0035044501 scopus 로고    scopus 로고
    • Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores
    • Normand ST, Landrum MB, Guadagnoli E, Ayanian JZ, Ryan TJ, Cleary PD, McNeil BJ. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. Journal of Clinical Epidemiology 2001; 54(4):387-398.
    • (2001) Journal of Clinical Epidemiology , vol.54 , Issue.4 , pp. 387-398
    • Normand, S.T.1    Landrum, M.B.2    Guadagnoli, E.3    Ayanian, J.Z.4    Ryan, T.J.5    Cleary, P.D.6    McNeil, B.J.7
  • 57
    • 1942542443 scopus 로고    scopus 로고
    • Lipid-lowering therapy with statins in high-risk elderly patients: the treatment-risk paradox
    • Ko DT, Mamdani M, Alter DA. Lipid-lowering therapy with statins in high-risk elderly patients: the treatment-risk paradox. Journal of the American Medical Association 2004; 291:1864-1870.
    • (2004) Journal of the American Medical Association , vol.291 , pp. 1864-1870
    • Ko, D.T.1    Mamdani, M.2    Alter, D.A.3
  • 60
    • 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 2010; 10:150-161.
    • (2010) Pharmaceutical Statistics , vol.10 , pp. 150-161
    • Austin, P.C.1
  • 61
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association 1984; 79:516-524.
    • (1984) Journal of the American Statistical Association , vol.79 , pp. 516-524
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 63
    • 50849129626 scopus 로고    scopus 로고
    • Covariate balance in simple, stratified and clustered comparative studies
    • Hansen BB, Bowers J. Covariate balance in simple, stratified and clustered comparative studies. Statistical Science 2008; 23:219-236.
    • (2008) Statistical Science , vol.23 , pp. 219-236
    • Hansen, B.B.1    Bowers, J.2
  • 64
    • 27744462592 scopus 로고    scopus 로고
    • Propensity score matching with time-dependent covariates
    • Lu B. Propensity score matching with time-dependent covariates. Biometrics 2005; 61(3):721-728.
    • (2005) Biometrics , vol.61 , Issue.3 , pp. 721-728
    • Lu, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.