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Volumn 95, Issue 1, 2008, Pages 35-47

Population intervention models in causal inference

Author keywords

Attributable risk; Causal inference; Confounding; Counterfactual; Doubly robust estimation; G computation estimation; Inverse probability of treatment weighted estimation

Indexed keywords


EID: 40249086760     PISSN: 00063444     EISSN: 14643510     Source Type: Journal    
DOI: 10.1093/biomet/asm097     Document Type: Article
Times cited : (66)

References (10)
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    • ROBINS, J. M. (1989). The analysis of randomized and non-randomized AIDS treatment trials using a new approach in causal inference in longitudinal studies. In Health Service Methodology: A Focus on AIDS, Ed. L. Sechrest, H. Freeman and A. Mulley, pp. 113-59. Washington, DC: U.S. Public Health Service, National Center for Health Services research.
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    • Correcting for non-compliance in randomized trials using structural nested mean models
    • ROBINS, J. M. (1994). Correcting for non-compliance in randomized trials using structural nested mean models. Commun. Statist. A 23, 2379-412.
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    • ROBINS, J.M.1
  • 4
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    • Marginal structural models versus structural nested models as tools for causal inference
    • Ed. M. E. Halloran and D. Berry, pp, New York: Springer
    • ROBINS, J. M. (2000). Marginal structural models versus structural nested models as tools for causal inference. In Statistical Models in Epidemiology, the Environment, and Clinical Trials, Ed. M. E. Halloran and D. Berry, pp. 95-113. New York: Springer.
    • (2000) Statistical Models in Epidemiology, the Environment, and Clinical Trials , pp. 95-113
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  • 5
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    • Marginal structural models and causal inference in epidemiology
    • ROBINS, J. M., HERNAN, M. A. & BRUMBACK, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology 11, 550-60.
    • (2000) Epidemiology , vol.11 , pp. 550-560
    • ROBINS, J.M.1    HERNAN, M.A.2    BRUMBACK, B.3
  • 6
    • 0001425735 scopus 로고
    • Recovery of information and adjustment for dependent censoring using surrogate markers
    • Ed. N.P. Jewell, K. Dietz and V. T. Farewell, pp, Boston, MA: Birkhäuser
    • ROBINS, J. M. & ROTNITZKY, A. (1992). Recovery of information and adjustment for dependent censoring using surrogate markers. In AIDS Epidemiology: Methodological Issues, Ed. N.P. Jewell, K. Dietz and V. T. Farewell, pp. 24-33. Boston, MA: Birkhäuser.
    • (1992) AIDS Epidemiology: Methodological Issues , pp. 24-33
    • ROBINS, J.M.1    ROTNITZKY, A.2
  • 7
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    • Bayesian inference for causal effects: The role of randomization
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    • RUBIN, D.B.1
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    • Estimation of treatment effects in randomized trials with noncompliance and a dichotomous outcome
    • VAN DER LAAN, M. J., HUBBARD, A. & JEWELL, N. P. (2007). Estimation of treatment effects in randomized trials with noncompliance and a dichotomous outcome. J. R. Statist. Soc. B 69, 463-82.
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    • VAN DER LAAN, M.J.1    HUBBARD, A.2    JEWELL, N.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.