메뉴 건너뛰기




Volumn 42, Issue 4, 2016, Pages 576-579

What’s new in the quantification of causal effects from longitudinal cohort studies: A brief introduction to marginal structural models for intensivists

Author keywords

[No Author keywords available]

Indexed keywords

COHORT ANALYSIS; HUMAN; INTENSIVE CARE; LONGITUDINAL STUDY; SEPSIS; STRUCTURAL MODEL;

EID: 85015748675     PISSN: 03424642     EISSN: 14321238     Source Type: Journal    
DOI: 10.1007/s00134-015-3919-6     Document Type: Article
Times cited : (18)

References (15)
  • 1
    • 0034702233 scopus 로고    scopus 로고
    • A comparison of observational studies and randomized, controlled trials
    • Benson K, Hartz AJ (2000) A comparison of observational studies and randomized, controlled trials. N Engl J Med 342:1878–1886
    • (2000) N Engl J Med , vol.342 , pp. 1878-1886
    • Benson, K.1    Hartz, A.J.2
  • 3
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins JM, Hernan MA, Brumback B (2000) Marginal structural models and causal inference in epidemiology. Epidemiology 11:550–560
    • (2000) Epidemiology , vol.11 , pp. 550-560
    • Robins, J.M.1    Hernan, M.A.2    Brumback, B.3
  • 7
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70:41–55
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 8
    • 84989822204 scopus 로고    scopus 로고
    • Propensity score estimators for the average treatment effect and the average treatment effect on the treated may yield very different estimates
    • Pirracchio R, Carone M, Rigon MR, Caruana E, Mebazaa A, Chevret S (2013) Propensity score estimators for the average treatment effect and the average treatment effect on the treated may yield very different estimates. Stat Methods Med Res. doi: 10.1177/0962280213507034
    • (2013) Stat Methods Med Res
    • Pirracchio, R.1    Carone, M.2    Rigon, M.R.3    Caruana, E.4    Mebazaa, A.5    Chevret, S.6
  • 9
    • 51749124303 scopus 로고    scopus 로고
    • Constructing inverse probability weights for marginal structural models
    • Cole SR, Hernan MA (2008) Constructing inverse probability weights for marginal structural models. Am J Epidemiol 168:656–664
    • (2008) Am J Epidemiol , vol.168 , pp. 656-664
    • Cole, S.R.1    Hernan, M.A.2
  • 10
    • 33745842238 scopus 로고    scopus 로고
    • Estimating causal effects from epidemiological data
    • Hernan MA, Robins JM (2006) Estimating causal effects from epidemiological data. J Epidemiol Community Health 60:578–586
    • (2006) J Epidemiol Community Health , vol.60 , pp. 578-586
    • Hernan, M.A.1    Robins, J.M.2
  • 11
    • 0033839024 scopus 로고    scopus 로고
    • Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
    • Hernan MA, Brumback B, Robins JM (2000) Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology 11:561–570
    • (2000) Epidemiology , vol.11 , pp. 561-570
    • Hernan, M.A.1    Brumback, B.2    Robins, J.M.3
  • 12
    • 84880393960 scopus 로고    scopus 로고
    • Investigating the relationship between neighborhood poverty and mortality risk: A marginal structural modeling approach
    • Do DP, Wang L, Elliott MR (2013) Investigating the relationship between neighborhood poverty and mortality risk: a marginal structural modeling approach. Soc Sci Med 91:58–66
    • (2013) Soc Sci Med , vol.91 , pp. 58-66
    • Do, D.P.1    Wang, L.2    Elliott, M.R.3
  • 13
    • 84901844484 scopus 로고    scopus 로고
    • Application of marginal structural models in pharmacoepidemiologic studies: A systematic review
    • Yang S, Eaton CB, Lu J, Lapane KL (2014) Application of marginal structural models in pharmacoepidemiologic studies: a systematic review. Pharmacoepidemiol Drug Saf 23:560–571
    • (2014) Pharmacoepidemiol Drug Saf , vol.23 , pp. 560-571
    • Yang, S.1    Eaton, C.B.2    Lu, J.3    Lapane, K.L.4
  • 15
    • 84862895832 scopus 로고    scopus 로고
    • Population intervention causal effects based on stochastic interventions
    • Munoz ID, van der Laan M (2012) Population intervention causal effects based on stochastic interventions. Biometrics 68:541–549
    • (2012) Biometrics , vol.68 , pp. 541-549
    • Munoz, I.D.1    van der Laan, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.