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Volumn 28, Issue 9, 2009, Pages 1415-1416

Remarks on the method of propensity score

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL ERROR; CAUSAL MODELING; COVARIANCE; DATA ANALYSIS; LETTER; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PROBABILITY; PROPENSITY SCORE; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE; ANALYSIS OF VARIANCE; BIOMETRY; EPIDEMIOLOGY; HUMAN; NOTE; RANDOMIZED CONTROLLED TRIAL; STATISTICAL MODEL; STATISTICS;

EID: 67549105887     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3521     Document Type: Letter
Times cited : (62)

References (7)
  • 1
    • 33846253571 scopus 로고    scopus 로고
    • The design versus the analysis of observational studies for causal effects: Parallels with the design of randomized trials
    • Rubin D. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials. Statistics in Medicine 2007; 26:20-36.
    • (2007) Statistics in Medicine , vol.26 , pp. 20-36
    • Rubin, D.1
  • 2
    • 54749109154 scopus 로고    scopus 로고
    • Letter to the editor
    • Shrier I. Letter to the editor. Statistics in Medicine 2008; 27:2740-2741.
    • (2008) Statistics in Medicine , vol.27 , pp. 2740-2741
    • Shrier, I.1
  • 3
    • 47249124179 scopus 로고    scopus 로고
    • Author's reply (to Ian Shrier's Letter to the Editor)
    • Rubin D. Author's reply (to Ian Shrier's Letter to the Editor). Statistics in Medicine 2008; 27:2741-2742.
    • (2008) Statistics in Medicine , vol.27 , pp. 2741-2742
    • Rubin, D.1
  • 4
    • 0032924944 scopus 로고    scopus 로고
    • Causal diagrams for epidemiologic research
    • Greenland S, Pearl J, Robins J. Causal diagrams for epidemiologic research. Epidemiology 1999; 10(1):37-48.
    • (1999) Epidemiology , vol.10 , Issue.1 , pp. 37-48
    • Greenland, S.1    Pearl, J.2    Robins, J.3
  • 5
    • 0038334174 scopus 로고    scopus 로고
    • Quantifying biases in causal models: Classical confounding vs collider-stratification bias
    • Greenland S. Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology 2003; 14:300-306.
    • (2003) Epidemiology , vol.14 , pp. 300-306
    • Greenland, S.1
  • 7
    • 84972538789 scopus 로고
    • Comment: Graphical models, causality, and intervention
    • Pearl J. Comment: graphical models, causality, and intervention. Statistical Science 1993; 8(3):266-269.
    • (1993) Statistical Science , vol.8 , Issue.3 , pp. 266-269
    • Pearl, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.