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Volumn 26, Issue 2, 2015, Pages e19-e20

Application of propensity-score matching in four leading medical journals

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOVASCULAR DISEASE; COHORT ANALYSIS; EUROPE; HUMAN; JAPAN; LETTER; LOGISTIC REGRESSION ANALYSIS; MEDICAL LITERATURE; PRIORITY JOURNAL; PROPENSITY SCORE; SENSITIVITY ANALYSIS; SOUTH KOREA; STUDY DESIGN; TAIWAN; UNITED STATES; BIBLIOMETRICS; STATISTICAL MODEL;

EID: 84923998465     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000249     Document Type: Letter
Times cited : (7)

References (8)
  • 1
    • 44649173785 scopus 로고    scopus 로고
    • A critical appraisal of propensityscore matching in the medical literature between 1996 and 2003
    • Austin PC. A critical appraisal of propensityscore 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
  • 2
    • 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. J Thorac Cardiovasc Surg. 2007; 134: 1128-1135.
    • (2007) J Thorac Cardiovasc Surg. , vol.134 , pp. 1128-1135
    • Austin, P.C.1
  • 3
    • 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: 41-45.
    • (1983) Biometrika. , vol.70 , pp. 41-45
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 4
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • Rosenbaum P, Rubin D. Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc. 1984; 79: 516-524.
    • (1984) J Am Stat Assoc. , vol.79 , pp. 516-524
    • Rosenbaum, P.1    Rubin, D.2
  • 5
    • 0029959044 scopus 로고    scopus 로고
    • Matching using estimated propensity scores: Relating theory to practice
    • Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics. 1996; 52: 249-264.
    • (1996) Biometrics. , vol.52 , pp. 249-264
    • Rubin, D.B.1    Thomas, N.2
  • 6
    • 0036102924 scopus 로고    scopus 로고
    • Propensity score matching methods for nonexperimental causal studies
    • Dehejia RH, Wahba S. Propensity score matching methods for nonexperimental causal studies. Rev Econ Stat. 2002; 84: 151-161.
    • (2002) Rev Econ Stat. , vol.84 , pp. 151-161
    • Dehejia, R.H.1    Wahba, S.2
  • 7
    • 4444230264 scopus 로고    scopus 로고
    • Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study
    • L unceford JK, Davidian M. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Stat Med. 2004; 23: 2937-2960.
    • (2004) Stat Med. , vol.23 , pp. 2937-2960
    • Lunceford, J.K.1    Davidian, M.2
  • 8
    • 34247629651 scopus 로고    scopus 로고
    • Propensity scores in cardiovascular research
    • D'Agostino RB Jr. Propensity scores in cardiovascular research. Circulation. 2007; 115: 2340-2343.
    • (2007) Circulation. , vol.115 , pp. 2340-2343
    • D'Agostino, R.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.