메뉴 건너뛰기




Volumn 25, Issue 2, 2014, Pages 282-291

Identification of natural direct effects when a confounder of the mediator is directly affected by exposure

Author keywords

[No Author keywords available]

Indexed keywords

CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; EFFECT MODIFIER, EPIDEMIOLOGIC; EPIDEMIOLOGIC RESEARCH DESIGN; MODELS, STATISTICAL;

EID: 84894191691     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000054     Document Type: Article
Times cited : (76)

References (28)
  • 1
    • 0026556155 scopus 로고
    • Identifiability and exchangeability for direct and indirect effects
    • R obins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3:143-155
    • (1992) Epidemiology , vol.3 , pp. 143-155
    • Robins, J.M.1    Greenland, S.2
  • 3
    • 15544371335 scopus 로고    scopus 로고
    • Semantics of causal DAG models and the identification of direct and indirect effects
    • In Green P, Hjort N, Richardson S, eds. Oxford: Oxford University Press
    • R obins J. Semantics of causal DAG models and the identification of direct and indirect effects. In Green P, Hjort N, Richardson S, eds. Highly Structured Stochastic Systems. Oxford: Oxford University Press; 2003:70-81
    • (2003) Highly Structured Stochastic Systems , pp. 70-81
    • Robins, J.1
  • 8
    • 74549199297 scopus 로고    scopus 로고
    • Estimating direct effects in cohort and case-control studies
    • Vansteelandt S. Estimating direct effects in cohort and case-control studies. Epidemiology. 2009;20:851-860
    • (2009) Epidemiology , vol.20 , pp. 851-860
    • Vansteelandt, S.1
  • 9
    • 67349216949 scopus 로고    scopus 로고
    • Marginal structural models for the estimation of direct and indirect effects
    • Vander Weele TJ. Marginal structural models for the estimation of direct and indirect effects. Epidemiology. 2009;20:18-26
    • (2009) Epidemiology , vol.20 , pp. 18-26
    • Vander Weele, T.J.1
  • 10
    • 77953957726 scopus 로고    scopus 로고
    • Conceptual issues concerning mediation, interventions and composition
    • Vander Weele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition. Stat Interface. 2009;2:457-468
    • (2009) Stat Interface , vol.2 , pp. 457-468
    • Vander Weele, T.J.1    Vansteelandt, S.2
  • 11
    • 79952117042 scopus 로고    scopus 로고
    • Odds ratios for mediation analysis for a dichotomous outcome-with discussion
    • Vander Weele TJ, Vansteelandt S. Odds ratios for mediation analysis for a dichotomous outcome-with discussion. Am J Epidemiol. 2010;172:1339-1348
    • (2010) Am J Epidemiol , vol.172 , pp. 1339-1348
    • Vander Weele, T.J.1    Vansteelandt, S.2
  • 12
    • 77957786869 scopus 로고    scopus 로고
    • Identification, inference and sensitivity analysis for causal mediation effects
    • I mai K, Keele L, Yamamoto T. Identification, inference and sensitivity analysis for causal mediation effects. Statist Sci. 2010;25:51-71
    • (2010) Statist Sci , vol.25 , pp. 51-71
    • Imai, K.1    Keele, L.2    Yamamoto, T.3
  • 13
    • 80053465648 scopus 로고    scopus 로고
    • On causal mediation analysis with a survival outcome
    • Article 33
    • T chetgen Tchetgen EJ. On causal mediation analysis with a survival outcome. Int J Biostat. 2011;7:Article 33
    • (2011) Int J Biostat , vol.7
    • Tchetgen Tchetgen, E.J.1
  • 14
    • 84866738183 scopus 로고    scopus 로고
    • Semiparametric theory for causal mediation analysis: Efficiency bounds, multiple robustness, and sensitivity analysis
    • T chetgen Tchetgen EJ, Shpitser I. Semiparametric theory for causal mediation analysis: Efficiency bounds, multiple robustness, and sensitivity analysis. Ann Stat. 2012;40:1816-1845
    • (2012) Ann Stat , vol.40 , pp. 1816-1845
    • Tchetgen Tchetgen, E.J.1    Shpitser, I.2
  • 15
    • 79959768753 scopus 로고    scopus 로고
    • Alternative assumptions for the identification of direct and indirect effects
    • Hafeman DM, Vander Weele TJ. Alternative assumptions for the identification of direct and indirect effects. Epidemiology. 2011;22:753-764
    • (2011) Epidemiology , vol.22 , pp. 753-764
    • Hafeman, D.M.1    Vander Weele, T.J.2
  • 16
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomized and nonrandomized studies
    • R ubin DB. Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol. 1974;66:688-701
    • (1974) J Educ Psychol , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 17
    • 0002531157 scopus 로고
    • Bayesian inference for causal effects: The role of randomization
    • R ubin DB. Bayesian inference for causal effects: The role of randomization. Ann Stat. 1978;6:34-58
    • (1978) Ann Stat , vol.6 , pp. 34-58
    • Rubin, D.B.1
  • 21
    • 84885421086 scopus 로고    scopus 로고
    • Inverse odds ratio-weighted estimation for causal mediation analysis
    • T chetgen Tchetgen EJ. Inverse odds ratio-weighted estimation for causal mediation analysis. Stat Med. 2013;32:4567-4580
    • (2013) Stat Med , vol.32 , pp. 4567-4580
    • Tchetgen Tchetgen, E.J.1
  • 22
    • 0346880128 scopus 로고    scopus 로고
    • Identification of causal effects using instrumental variables
    • A ngrist J, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables. J Am Stat Assoc. 1996;91:444-455
    • (1996) J Am Stat Assoc , vol.91 , pp. 444-455
    • Angrist, J.1    Imbens, G.W.2    Rubin, D.B.3
  • 23
    • 64149089345 scopus 로고    scopus 로고
    • The properties of monotonic effects on directed acyclic graphs
    • Vander Weele TJ, Robins JM. The properties of monotonic effects on directed acyclic graphs. J Machine Learning Res. 2009;10:699-718
    • (2009) J Machine Learning Res , vol.10 , pp. 699-718
    • Vander Weele, T.J.1    Robins, J.M.2
  • 24
    • 80051548855 scopus 로고    scopus 로고
    • Bounding the infectiousness effect in vaccine trials
    • Vander Weele TJ, Tchetgen Tchetgen EJ. Bounding the infectiousness effect in vaccine trials. Epidemiology. 2011;22:686-693
    • (2011) Epidemiology , vol.22 , pp. 686-693
    • Vander Weele, T.J.1    Tchetgen Tchetgen, E.J.2
  • 25
    • 84858387302 scopus 로고    scopus 로고
    • On the relations between excess fraction, attributable fraction, and etiologic fraction
    • Suzuki E, Yamamoto E, Tsuda T. On the relations between excess fraction, attributable fraction, and etiologic fraction. Am J Epidemiol. 2012;175:567-575
    • (2012) Am J Epidemiol , vol.175 , pp. 567-575
    • Suzuki, E.1    Yamamoto, E.2    Tsuda, T.3
  • 27
    • 84876069553 scopus 로고    scopus 로고
    • Identification and sensitivity analysis for multiple causal mechanisms: Revisiting evidence from framing experiments
    • I mai K, Yamamoto T. Identification and sensitivity analysis for multiple causal mechanisms: Revisiting evidence from framing experiments. Political Analysis. 2013;21:141-171
    • (2013) Political Analysis , vol.21 , pp. 141-171
    • Imai, K.1    Yamamoto, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.