메뉴 건너뛰기




Volumn 94, Issue 7-8, 2007, Pages 680-686

Propensity score: Interest and limits;Le score de propension: Intérêt et limites

Author keywords

Bias; Confusion; Methodology; Observational studies; Propensity; Score; Statistics

Indexed keywords

CLINICAL RESEARCH; COLONOSCOPY; CONFUSION; HEALTH CARE; HUMAN; LAPAROTOMY; LOGISTIC REGRESSION ANALYSIS; METHODOLOGY; MORBIDITY; MULTIVARIATE ANALYSIS; OBSERVATIONAL STUDY; QUALITY OF LIFE; REVIEW; SCORING SYSTEM; STATISTICAL ANALYSIS; SURVIVAL; TREATMENT OUTCOME;

EID: 34548684812     PISSN: 00074551     EISSN: 17696917     Source Type: Journal    
DOI: 10.1684/bdc.2007.0412     Document Type: Review
Times cited : (12)

References (16)
  • 2
    • 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 : 41-5.
    • (1983) Biometrika , vol.70 , pp. 41-45
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 3
    • 28944441516 scopus 로고    scopus 로고
    • Mantion G and the Association Française de Chirurgie. French multicentre prospective observational study of laparoscopic versus open colectomy for sigmoid diverticular disease
    • Alves A, Panis Y, Slim K, Heyd B, Kwiatkowski F. Mantion G and the Association Française de Chirurgie. French multicentre prospective observational study of laparoscopic versus open colectomy for sigmoid diverticular disease. Br J Surg 2005 ; 92 : 1520-5.
    • (2005) Br J Surg , vol.92 , pp. 1520-1525
    • Alves, A.1    Panis, Y.2    Slim, K.3    Heyd, B.4    Kwiatkowski, F.5
  • 5
    • 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 P, Grootendorst P, Normand SL, Anderson G. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect : a Monte Carlo study. Stat Med 2007 ; 26 : 754-68.
    • (2007) Stat Med , vol.26 , pp. 754-768
    • Austin, P.1    Grootendorst, P.2    Normand, S.L.3    Anderson, G.4
  • 6
    • 3543135271 scopus 로고    scopus 로고
    • Propensity score methods for biais reduction in the comparison of a treatment to a non-randomized control group
    • D'Agostino R. Propensity score methods for biais reduction in the comparison of a treatment to a non-randomized control group. Stat Med 1998 ; 17 : 2265-81.
    • (1998) Stat Med , vol.17 , pp. 2265-2281
    • D'Agostino, R.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. Am Stat 1985 ; 39 : 33-8.
    • (1985) Am Stat , vol.39 , pp. 33-38
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 10
    • 0014297593 scopus 로고
    • The effectiveness of adjustment by subclassification in removing biais in observational studies
    • Cochran W. The effectiveness of adjustment by subclassification in removing biais in observational studies. Biometrics 1968 ; 24 : 205-13.
    • (1968) Biometrics , vol.24 , pp. 205-213
    • Cochran, W.1
  • 11
    • 77956891487 scopus 로고
    • Biased estimates of treatment effect in randomized experiment with nonlinear regressions and omitted covariates
    • Gail MH, Wieand S, Piantadosi S. Biased estimates of treatment effect in randomized experiment with nonlinear regressions and omitted covariates. Biometrika 1984 ; 7 : 431-44.
    • (1984) Biometrika , vol.7 , pp. 431-444
    • Gail, M.H.1    Wieand, S.2    Piantadosi, S.3
  • 12
    • 17244379268 scopus 로고    scopus 로고
    • Weaknesses of goodness-of-fit tests for evaluating propensity score models : The case of the omitted confounder
    • Weitzen S, Lapane K, Toledano A, Hume A, Mor V. Weaknesses of goodness-of-fit tests for evaluating propensity score models : the case of the omitted confounder. Pharmacoepidemiol Drug Saf 2005 ; 14 : 227-38.
    • (2005) Pharmacoepidemiol Drug Saf , vol.14 , pp. 227-238
    • Weitzen, S.1    Lapane, K.2    Toledano, A.3    Hume, A.4    Mor, V.5
  • 14
    • 0024547831 scopus 로고
    • Performance of tests of significance based on stratification by a multivariate confounder or by a propensity score
    • Cook EF, Goldman L. Performance of tests of significance based on stratification by a multivariate confounder or by a propensity score. J Clin Epidemiol 1989 ; 42 : 317-24.
    • (1989) J Clin Epidemiol , vol.42 , pp. 317-324
    • Cook, E.F.1    Goldman, L.2
  • 15
    • 0041626110 scopus 로고    scopus 로고
    • Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders
    • Cepeda M, Boston R, Farrar J, Strom B. Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders. Am J Epidemiol 2003 ; 158 : 280-7.
    • (2003) Am J Epidemiol , vol.158 , pp. 280-287
    • Cepeda, M.1    Boston, R.2    Farrar, J.3    Strom, B.4
  • 16
    • 0030862072 scopus 로고    scopus 로고
    • Estimating causal effects from large sets using propensity scores
    • Rubin DB. Estimating causal effects from large sets using propensity scores. Ann Intern Med 1997 ; 127 : 757-63.
    • (1997) Ann Intern Med , vol.127 , pp. 757-763
    • Rubin, D.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.