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Volumn 27, Issue 3, 2013, Pages 263-265

Marginal structural models, doubly robust estimation, and bias analysis in perinatal and paediatric epidemiology

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL MODELING; CHILD CARE; CONFOUNDING VARIABLE; DATA ANALYSIS; DOUBLY ROBUST ESTIMATION; EPIDEMIOLOGICAL DATA; HEARING IMPAIRMENT; HUMAN; MARGINAL STRUCTURAL MODEL; NOTE; OUTCOMES RESEARCH; PERINATAL CARE; PROBABILITY; STATISTICAL MODEL;

EID: 84876158506     PISSN: 02695022     EISSN: 13653016     Source Type: Journal    
DOI: 10.1111/ppe.12049     Document Type: Note
Times cited : (12)

References (10)
  • 1
    • 84876144213 scopus 로고    scopus 로고
    • A time and place for causal inference methods in perinatal and pediatric epidemiology
    • Ahrens KA, Schisterman EF,. A time and place for causal inference methods in perinatal and pediatric epidemiology. Pediatric and Perinatal Epidemiology 2013; 27: 258-262.
    • (2013) Pediatric and Perinatal Epidemiology , vol.27 , pp. 258-262
    • Ahrens, K.A.1    Schisterman, E.F.2
  • 2
    • 84876154477 scopus 로고    scopus 로고
    • Cell phone exposures and hearing loss in children in the Danish National Birth Cohort
    • Sudan M, Kheifets L, Arah OA, Olsen J,. Cell phone exposures and hearing loss in children in the Danish National Birth Cohort. Pediatric and Perinatal Epidemiology 2013; 27: 247-257.
    • (2013) Pediatric and Perinatal Epidemiology , vol.27 , pp. 247-257
    • Sudan, M.1    Kheifets, L.2    Arah, O.A.3    Olsen, J.4
  • 3
    • 40749160098 scopus 로고    scopus 로고
    • The role of causal reasoning in understanding Simpson's paradox, Lord's paradox, and the suppression effect: Covariate selection in the analysis of observational studies
    • Arah OA,. The role of causal reasoning in understanding Simpson's paradox, Lord's paradox, and the suppression effect: covariate selection in the analysis of observational studies. Emerging Themes in Epidemiology 2008; 5: 5.
    • (2008) Emerging Themes in Epidemiology , vol.5 , pp. 5
    • Arah, O.A.1
  • 5
    • 33645312703 scopus 로고    scopus 로고
    • Leukemia attributable to residential magnetic fields: Results from analyses allowing for study biases
    • Greenland S, Kheifets L,. Leukemia attributable to residential magnetic fields: results from analyses allowing for study biases. Risk Analysis 2006; 26: 471-482.
    • (2006) Risk Analysis , vol.26 , pp. 471-482
    • Greenland, S.1    Kheifets, L.2
  • 6
    • 47349085647 scopus 로고    scopus 로고
    • Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders
    • Arah OA, Chiba Y, Greenland S,. Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders. Annals of Epidemiology 2008; 18: 637-646.
    • (2008) Annals of Epidemiology , vol.18 , pp. 637-646
    • Arah, O.A.1    Chiba, Y.2    Greenland, S.3
  • 7
    • 78650778119 scopus 로고    scopus 로고
    • Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, expsoures and confounders
    • VanderWeele TJ, Arah OA,. Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, expsoures and confounders. Epidemiology 2011; 22: 42-52.
    • (2011) Epidemiology , vol.22 , pp. 42-52
    • Vanderweele, T.J.1    Arah, O.A.2
  • 8
    • 85056259802 scopus 로고    scopus 로고
    • Estimation of the causal effects of time-varying exposures
    • Editors: Fitzmaurice G. Davidian M. Verbeke G. Molenberghs G. Boca Raton: CRC Press
    • Robins JM, Hernan MA,. Estimation of the causal effects of time-varying exposures. In: Longitudinal Data Analysis. Editors:, Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G,. Boca Raton: CRC Press, 2009; pp. 553-599.
    • (2009) Longitudinal Data Analysis , pp. 553-599
    • Robins, J.M.1    Hernan, M.A.2
  • 9
    • 0003135327 scopus 로고    scopus 로고
    • Marginal structural models versus structural nested models as tools for causal inference
    • Editors: Halloran M.E. Berry D. New York: Springer-Verlag
    • Robins JM,. Marginal structural models versus structural nested models as tools for causal inference. In: Statistical Models in Epidemiology: The Environment and Clinical Trials. Editors:, Halloran ME, Berry D,. New York: Springer-Verlag, 1999; pp. 95-134.
    • (1999) Statistical Models in Epidemiology: The Environment and Clinical Trials , pp. 95-134
    • Robins, J.M.1


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