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Volumn 172, Issue 12, 2010, Pages 1339-1348

Odds ratios for mediation analysis for a dichotomous outcome

Author keywords

Case control studies; Causal inference; Decomposition; Dichotomous response; Epidemiologic methods; Interaction; Logistic regression; Odds ratio

Indexed keywords

DATA INTERPRETATION; DECOMPOSITION ANALYSIS; EPIDEMIOLOGY; NUMERICAL METHOD; REGRESSION ANALYSIS; RISK ASSESSMENT; SAMPLING; SIZE EFFECT;

EID: 79952117042     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq332     Document Type: Review
Times cited : (631)

References (43)
  • 1
    • 0026556155 scopus 로고
    • Identifiability and exchangeability for direct and indirect effects
    • Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3(2):143-155
    • (1992) Epidemiology , vol.3 , Issue.2 , pp. 143-155
    • Robins, J.M.1    Greenland, S.2
  • 3
    • 0033542402 scopus 로고    scopus 로고
    • The protective effects of estrogen on the cardiovascular system
    • Mendelsohn ME, Karas RH. The protective effects of estrogen on the cardiovascular system. N Engl J Med. 1999;340(23): 1801-1811
    • (1999) N Engl J Med , vol.340 , Issue.23 , pp. 1801-1811
    • Mendelsohn, M.E.1    Karas, R.H.2
  • 4
    • 0023265766 scopus 로고
    • Cardiovascular mortality and noncontraceptive use of estrogen in women: Results from the Lipid Research Clinics Program Follow-up Study
    • Bush TL, Barrett-Connor E, Cowan LD, et al. Cardiovascular mortality and noncontraceptive use of estrogen in women: results from the Lipid Research Clinics Program Follow-up Study. Circulation. 1987;75(6):1102-1109
    • (1987) Circulation , vol.75 , Issue.6 , pp. 1102-1109
    • Bush, T.L.1    Barrett-Connor, E.2    Cowan, L.D.3
  • 5
    • 38249019870 scopus 로고
    • Formal modes of statistical inference for causal effects
    • Rubin DB. Formal modes of statistical inference for causal effects. J Statist Plan Inf. 1990;25(3):279-292
    • (1990) J Statist Plan Inf , vol.25 , Issue.3 , pp. 279-292
    • Rubin, D.B.1
  • 6
    • 1642443338 scopus 로고    scopus 로고
    • A definition of causal effect for epidemiological research
    • Hernán MA. A definition of causal effect for epidemiological research. J Epidemiol Community Health. 2004;58(4): 265-271
    • (2004) J Epidemiol Community Health , vol.58 , Issue.4 , pp. 265-271
    • Hernán, M.A.1
  • 8
    • 74549138178 scopus 로고    scopus 로고
    • Concerning the consistency assumption in causal inference
    • VanderWeele TJ. Concerning the consistency assumption in causal inference. Epidemiology. 2009;20(6):880-883
    • (2009) Epidemiology , vol.20 , Issue.6 , pp. 880-883
    • Vanderweele, T.J.1
  • 9
    • 77953957726 scopus 로고    scopus 로고
    • Conceptual issues concerning mediation, interventions and composition
    • VanderWeele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition. Stat Interface. 2009;2(4):457-468
    • (2009) Stat Interface , vol.2 , Issue.4 , pp. 457-468
    • Vanderweele, T.J.1    Vansteelandt, S.2
  • 10
    • 15544371335 scopus 로고    scopus 로고
    • Semantics of causal DAG models and the identification of direct and indirect effects
    • Green P, Hjort NL, Richardson S, eds. . New York, NY: Oxford University Press
    • Robins JM. Semantics of causal DAG models and the identification of direct and indirect effects. In: Green P, Hjort NL, Richardson S, eds. Highly Structured Stochastic Systems. New York, NY: Oxford University Press; 2003:70-81
    • (2003) Highly Structured Stochastic Systems , pp. 70-81
    • Robins, J.M.1
  • 11
    • 34548457818 scopus 로고    scopus 로고
    • Defining and estimating intervention effects for groups that will develop an auxiliary outcome
    • Joffe M, Small D, Hsu CY. Defining and estimating intervention effects for groups that will develop an auxiliary outcome. Stat Sci. 2007;22(1):74-97
    • (2007) Stat Sci , vol.22 , Issue.1 , pp. 74-97
    • Joffe, M.1    Small, D.2    Hsu, C.Y.3
  • 12
    • 67349216949 scopus 로고    scopus 로고
    • Marginal structural models for the estimation of direct and indirect effects
    • VanderWeele TJ. Marginal structural models for the estimation of direct and indirect effects. Epidemiology. 2009;20(1): 18-26
    • (2009) Epidemiology , vol.20 , Issue.1 , pp. 18-26
    • Vanderweele, T.J.1
  • 13
    • 84973815909 scopus 로고
    • Process analysis: Estimating mediation in treatment evaluations
    • Judd CM, Kenny DA. Process analysis: estimating mediation in treatment evaluations. Eval Rev. 1981;5(5):602-619
    • (1981) Eval Rev , vol.5 , Issue.5 , pp. 602-619
    • Judd, C.M.1    Kenny, D.A.2
  • 14
    • 0036203032 scopus 로고    scopus 로고
    • Fallibility in estimating direct effects
    • Cole SR, Hernán MA. Fallibility in estimating direct effects. Int J Epidemiol. 2002;31(1):163-165
    • (2002) Int J Epidemiol , vol.31 , Issue.1 , pp. 163-165
    • Cole, S.R.1    Hernán, M.A.2
  • 15
    • 77953957904 scopus 로고    scopus 로고
    • Bias formulas for sensitivity analysis for direct and indirect effects
    • VanderWeele TJ. Bias formulas for sensitivity analysis for direct and indirect effects. Epidemiology. 2010;21(4):540-551
    • (2010) Epidemiology , vol.21 , Issue.4 , pp. 540-551
    • Vanderweele, T.J.1
  • 16
  • 18
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550-560
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 550-560
    • Robins, J.M.1    Hernán, M.A.2    Brumback, B.3
  • 20
    • 0000272869 scopus 로고    scopus 로고
    • Testing and estimation of direct effects by reparameterizing directed acyclic graphs with structural nested models
    • Glymour C, Cooper GF, eds, Menlo Park, CA: AAAI Press/ Cambridge, MA: The MIT Press
    • Robins JM. Testing and estimation of direct effects by reparameterizing directed acyclic graphs with structural nested models. In: Glymour C, Cooper GF, eds. Computation, Causation, and Discovery. Menlo Park, CA: AAAI Press/ Cambridge, MA: The MIT Press; 1999:349-405
    • (1999) Computation, Causation, and Discovery , pp. 349-405
    • Robins, J.M.1
  • 21
    • 34548438170 scopus 로고    scopus 로고
    • Causal mediation analyses with rank preserving models
    • Ten Have TR, Joffe MM, Lynch KG, et al. Causal mediation analyses with rank preserving models. Biometrics. 2007;63(3): 926-934
    • (2007) Biometrics , vol.63 , Issue.3 , pp. 926-934
    • Ten Have, T.R.1    Joffe, M.M.2    Lynch, K.G.3
  • 23
    • 66949158002 scopus 로고    scopus 로고
    • Related causal frameworks for surrogate outcomes
    • Joffe MM, Greene T. Related causal frameworks for surrogate outcomes. Biometrics. 2009;65(2):530-538
    • (2009) Biometrics , vol.65 , Issue.2 , pp. 530-538
    • Joffe, M.M.1    Greene, T.2
  • 24
    • 74549199297 scopus 로고    scopus 로고
    • Estimating direct effects in cohort and casecontrol studies
    • Vansteelandt S. Estimating direct effects in cohort and casecontrol studies. Epidemiology. 2009;20(6):851-860
    • (2009) Epidemiology , vol.20 , Issue.6 , pp. 851-860
    • Vansteelandt, S.1
  • 26
    • 0023020183 scopus 로고
    • The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations
    • Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6): 1173-1182
    • (1986) J Pers Soc Psychol , vol.51 , Issue.6 , pp. 1173-1182
    • Baron, R.M.1    Kenny, D.A.2
  • 27
    • 0026573094 scopus 로고
    • Statistical validation of intermediate endpoints for chronic diseases
    • Freedman LS, Graubard BI, Schatzkin A. Statistical validation of intermediate endpoints for chronic diseases. Stat Med. 1992;11(2):167-178
    • (1992) Stat Med , vol.11 , Issue.2 , pp. 167-178
    • Freedman, L.S.1    Graubard, B.I.2    Schatzkin, A.3
  • 28
    • 0030771191 scopus 로고    scopus 로고
    • Estimating the proportion of treatment effect explained by a surrogate marker
    • Lin DY, Fleming TR, De Gruttola V. Estimating the proportion of treatment effect explained by a surrogate marker. Stat Med. 1997;16(13):1515-1527
    • (1997) Stat Med , vol.16 , Issue.13 , pp. 1515-1527
    • Lin, D.Y.1    Fleming, T.R.2    De Gruttola, V.3
  • 29
    • 0035889539 scopus 로고    scopus 로고
    • A method to assess the proportion of treatment effect explained by a surrogate endpoint
    • Li Z, Meredith MP, Hoseyni MS. A method to assess the proportion of treatment effect explained by a surrogate endpoint. Stat Med. 2001;20(21):3175-3188
    • (2001) Stat Med , vol.20 , Issue.21 , pp. 3175-3188
    • Li, Z.1    Meredith, M.P.2    Hoseyni, M.S.3
  • 30
    • 0242607935 scopus 로고    scopus 로고
    • Proportion of treatment effect (PTE) explained by a surrogate marker
    • Chen C, Wang H, Snapinn SM. Proportion of treatment effect (PTE) explained by a surrogate marker. Stat Med. 2003; 22(22):3449-3459
    • (2003) Stat Med , vol.22 , Issue.22 , pp. 3449-3459
    • Chen, C.1    Wang, H.2    Snapinn, S.M.3
  • 31
    • 0036966524 scopus 로고    scopus 로고
    • A measure of the proportion of treatment effect explained by a surrogate marker
    • Wang Y, Taylor JM. A measure of the proportion of treatment effect explained by a surrogate marker. Biometrics. 2002; 58(4):803-812
    • (2002) Biometrics , vol.58 , Issue.4 , pp. 803-812
    • Wang, Y.1    Taylor, J.M.2
  • 32
    • 33644859247 scopus 로고    scopus 로고
    • Counterfactual links to the proportion of treatment effect explained by a surrogate marker
    • Taylor JM, Wang Y, Thiébaut R. Counterfactual links to the proportion of treatment effect explained by a surrogate marker. Biometrics. 2005;61(4):1102-1111
    • (2005) Biometrics , vol.61 , Issue.4 , pp. 1102-1111
    • Taylor, J.M.1    Wang, Y.2    Thiébaut, R.3
  • 33
    • 15544376668 scopus 로고    scopus 로고
    • A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation [electronic article]
    • Kaufman JS, MacLehose RF, Kaufman S. A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation [electronic article]. Epidemiol Perspect Innov. 2004;1(1):4
    • (2004) Epidemiol Perspect Innov , vol.1 , Issue.1 , pp. 4
    • Kaufman, J.S.1    MacLehose, R.F.2    Kaufman, S.3
  • 34
    • 70849134693 scopus 로고    scopus 로고
    • Proportion explained: A causal interpretation for standard measures of indirect effect?
    • Hafeman DM. Proportion explained: a causal interpretation for standard measures of indirect effect? Am J Epidemiol. 2009;170(11):1443-1448
    • (2009) Am J Epidemiol , vol.170 , Issue.11 , pp. 1443-1448
    • Hafeman, D.M.1
  • 35
    • 55549113229 scopus 로고    scopus 로고
    • Estimation based on case-control designs with known prevalence probability
    • article
    • van der Laan MJ. Estimation based on case-control designs with known prevalence probability. In: International Journal of Biostatistics. Vol. 4, issue 1, article
    • International Journal of Biostatistics , vol.4 , Issue.1
    • Van Der Laan, M.J.1
  • 36
    • 34948824845 scopus 로고    scopus 로고
    • Dampness and mold in the home and depression: An examination of moldrelated illness and perceived control of one's home as possible depression pathways
    • Shenassa ED, Daskalakis C, Liebhaber A, et al. Dampness and mold in the home and depression: an examination of moldrelated illness and perceived control of one's home as possible depression pathways. Am J Public Health. 2007;97(10): 1893-1899
    • (2007) Am J Public Health , vol.97 , Issue.10 , pp. 1893-1899
    • Shenassa, E.D.1    Daskalakis, C.2    Liebhaber, A.3
  • 37
    • 67349219346 scopus 로고    scopus 로고
    • Mediation and mechanism
    • VanderWeele TJ. Mediation and mechanism. Eur J Epidemiol. 2009;24(5):217-224
    • (2009) Eur J Epidemiol , vol.24 , Issue.5 , pp. 217-224
    • Vanderweele, T.J.1
  • 38
    • 35649024777 scopus 로고    scopus 로고
    • Modelling treatment-effect heterogeneity in randomized controlled trials of complex interventions (psychological treatments)
    • Dunn G, Bentall R. Modelling treatment-effect heterogeneity in randomized controlled trials of complex interventions (psychological treatments). Stat Med. 2007;26(26):4719-4745
    • (2007) Stat Med , vol.26 , Issue.26 , pp. 4719-4745
    • Dunn, G.1    Bentall, R.2
  • 39
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • Greenland S, Robins JM, Pearl J. Confounding and collapsibility in causal inference. Stat Sci. 1999;14(1):29-46
    • (1999) Stat Sci , vol.14 , Issue.1 , pp. 29-46
    • Greenland, S.1    Robins, J.M.2    Pearl, J.3
  • 40
    • 4444244491 scopus 로고    scopus 로고
    • Statistical assessment of mediational effects for logistic mediational models
    • Huang B, Sivaganesan S, Succop P, et al. Statistical assessment of mediational effects for logistic mediational models. Stat Med. 2004;23(17):2713-2728
    • (2004) Stat Med , vol.23 , Issue.17 , pp. 2713-2728
    • Huang, B.1    Sivaganesan, S.2    Succop, P.3
  • 41
    • 55749087012 scopus 로고    scopus 로고
    • Intermediacy and gene-environment interaction: The example of CHRNA5-A3 region, smoking, nicotine dependence, and lung cancer
    • Wacholder S, Chatterjee N, Caporaso N. Intermediacy and gene-environment interaction: the example of CHRNA5-A3 region, smoking, nicotine dependence, and lung cancer. J Natl Cancer Inst. 2008;100(21):1488-1491
    • (2008) J Natl Cancer Inst , vol.100 , Issue.21 , pp. 1488-1491
    • Wacholder, S.1    Chatterjee, N.2    Caporaso, N.3
  • 42
    • 41649094388 scopus 로고    scopus 로고
    • Genomics: When the smoke clears
    • Chanock SJ, Hunter DJ. Genomics: when the smoke clears. . . Nature. 2008;452(7187):537-538
    • (2008) Nature , vol.452 , Issue.7187 , pp. 537-538
    • Chanock, S.J.1    Hunter, D.J.2
  • 43
    • 70149088401 scopus 로고    scopus 로고
    • On the adjustment for covariates in genetic association analysis: A novel, simple principle to infer direct causal effects
    • Vansteelandt S, Goetgeluk S, Lutz S, et al. On the adjustment for covariates in genetic association analysis: a novel, simple principle to infer direct causal effects. Genet Epidemiol. 2009;33(5):394-405
    • (2009) Genet Epidemiol , vol.33 , Issue.5 , pp. 394-405
    • Vansteelandt, S.1    Goetgeluk, S.2    Lutz, S.3


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