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Volumn 8, Issue 3, 2008, Pages 334-353

Implementing double-robust estimators of causal effects

Author keywords

Causal models; Confounding; Double robust estimators; Dr; Inverse probability of treatment weights; Propensity score; St0149

Indexed keywords


EID: 54249135859     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0800800302     Document Type: Article
Times cited : (77)

References (14)
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    • Davidian, M., A. A. Tsiatis, and S. Leon. 2005. Simulation study of estimators for treatment effect in a pretest-posttest study with posttest response missing at random. Working paper, Department of Statistics, North Carolina Stata University. http://www4.stat.ncsu.edu/∼davidian/sim.pdf.
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    • Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect
    • Kurth, T., A. M. Walker, R. J. Glynn, K. A. Chan, J. M. Gaziano, K. Berger, and J. M. Robins. 2006. Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. American Journal of Epidemiology 163: 262-270.
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  • 6
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    • Leon, S., A. A. Tsiatis, and M. Davidian. 2003. Semiparametric estimation of treatment effect in a pretest-posttest study. Biometrics 59: 1046-1055.
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    • Leon, S.1    Tsiatis, A.A.2    Davidian, M.3
  • 7
    • 4444230264 scopus 로고    scopus 로고
    • Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study
    • Lunceford, J. K., and M. Davidian. 2004. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine 23: 2937-2960.
    • (2004) Statistics in Medicine , vol.23 , pp. 2937-2960
    • Lunceford, J.K.1    Davidian, M.2
  • 8
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    • Comment: Semiparametric estimation of treatment effect in a pretest-posttest study with missing data
    • Molenberghs, G. 2005. Comment: Semiparametric estimation of treatment effect in a pretest-posttest study with missing data. Statistical Science 20: 289-292.
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  • 12
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    • The central role of the propensity score in observational studies for causal effects
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  • 14
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    • van der Laan, M. J., and J. M. Robins. 2003. Unified Methods for Censored Longitudinal Data and Causality. New York: Springer.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.