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Volumn 26, Issue 4, 2015, Pages 481-489

A General, Multivariate Definition of Causal Effects in Epidemiology

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ATTRIBUTABLE RISK; CAUSAL ATTRIBUTION; EPIDEMIOLOGY; EXPOSURE VARIABLE; HUMAN; IMMUNIZATION; INCIDENCE; LUNG FUNCTION; MULTIVARIATE ANALYSIS; NOMENCLATURE; POPULATION RISK; PREDICTIVE VALUE; PREVALENCE; PRIORITY JOURNAL; PUBLIC HEALTH; STRATIFIED SAMPLE; SURVIVAL; ODDS RATIO; STATISTICAL BIAS; STATISTICAL MODEL; STATISTICS;

EID: 84942805099     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000286     Document Type: Article
Times cited : (16)

References (39)
  • 1
    • 1642443338 scopus 로고    scopus 로고
    • A definition of causal effect for epidemiology
    • Hernán MA. A definition of causal effect for epidemiology. J Epidemiol Community Health. 2004;58:265-271.
    • (2004) J Epidemiol Community Health , vol.58 , pp. 265-271
    • Hernán, M.A.1
  • 2
    • 84942792883 scopus 로고    scopus 로고
    • Available at Accessed December 8, 2013
    • Hernan MA, Robins J. Causal Inference (Vol. 1). 2013. Available at: http://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/. Accessed December 8, 2013.
    • (2013) Causal Inference , vol.1
    • Hernan, M.A.1    Robins, J.2
  • 5
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with sustained exposure periods-application to control of the health worker survivor effect
    • Robins J. A new approach to causal inference in mortality studies with sustained exposure periods-application to control of the health worker survivor effect. Math Modelling. 1986;7:1393-1515.
    • (1986) Math Modelling , vol.7 , pp. 1393-1515
    • Robins, J.1
  • 6
    • 1542637615 scopus 로고    scopus 로고
    • Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome
    • Robins JM, Greenland S, Hu F.-C. Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. J Am Stat Assoc. 1999;94:687-700.
    • (1999) J Am Stat Assoc , vol.94 , pp. 687-700
    • Robins, J.M.1    Greenland, S.2    Hu, F.-C.3
  • 7
    • 77954543891 scopus 로고    scopus 로고
    • Measures and models for causal inference in cross-sectional studies: Arguments for the appropriateness of the prevalence odds ratio and related logistic regression
    • R eichenheim ME, Coutinho ESF. Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression. BMC Med Res Methodol. 2010;10:66.
    • (2010) BMC Med Res Methodol , vol.10 , pp. 66
    • Reichenheim, M.E.1    Coutinho, E.S.F.2
  • 8
    • 0031894770 scopus 로고    scopus 로고
    • Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: What is to be done?
    • Thompson ML, Myers JE, Kriebel D. Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done? Occup Environ Med. 1998;55:272-277.
    • (1998) Occup Environ Med , vol.55 , pp. 272-277
    • Thompson, M.L.1    Myers, J.E.2    Kriebel, D.3
  • 9
    • 66049161687 scopus 로고    scopus 로고
    • Econometric evaluation of social programs, part I: Causal models, structural models and econometric policy evaluation
    • Heckman J, Leamer E, eds Amsterdam: Elsevier
    • Heckman JJ, Vytlacil EJ. Econometric evaluation of social programs, part I: causal models, structural models and econometric policy evaluation. In: Heckman J, Leamer E, eds. Handbook of Econometrics. vol 6. Amsterdam: Elsevier; 2007:4779-4874.
    • (2007) Handbook of Econometrics , vol.6 , pp. 4779-4874
    • Heckman, J.J.1    Vytlacil, E.J.2
  • 10
    • 80051551986 scopus 로고    scopus 로고
    • Direct and indirect effects in a survival context
    • Lange T, Hansen JV. Direct and indirect effects in a survival context. Epidemiology. 2011;22:575-581.
    • (2011) Epidemiology , vol.22 , pp. 575-581
    • Lange, T.1    Hansen, J.V.2
  • 11
    • 34250766845 scopus 로고    scopus 로고
    • Properties of 2 counterfactual effect definitions of a point exposure
    • Flanders WD, Klein M. Properties of 2 counterfactual effect definitions of a point exposure. Epidemiology. 2007;18:453-460.
    • (2007) Epidemiology , vol.18 , pp. 453-460
    • Flanders, W.D.1    Klein, M.2
  • 12
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomized and nonrandomized studies
    • Rubin DB. Estimating causal effects of treatments in randomized and nonrandomized studies. J Educat Psych. 1974;66:688-701.
    • (1974) J Educat Psych , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 13
    • 2942562549 scopus 로고    scopus 로고
    • Direct and indirect causal effects via potential outcomes
    • Rubin DB. Direct and indirect causal effects via potential outcomes. Scand J Stat. 2004;31:161-170.
    • (2004) Scand J Stat , vol.31 , pp. 161-170
    • Rubin, D.B.1
  • 15
    • 79955059963 scopus 로고    scopus 로고
    • Compound treatments and transportability of causal inference
    • Hernán MA, Vander Weele TJ. Compound treatments and transportability of causal inference. Epidemiology. 2011;22:368-377.
    • (2011) Epidemiology , vol.22 , pp. 368-377
    • Hernán, M.A.1    Vander Weele, T.J.2
  • 16
    • 26444606818 scopus 로고    scopus 로고
    • Invited commentary: Hypothetical interventions to define causal effects-afterthought or prerequisite?
    • discussion 621
    • Hernán MA. Invited commentary: hypothetical interventions to define causal effects-afterthought or prerequisite? Am J Epidemiol. 2005;162:618-620; discussion 621.
    • (2005) Am J Epidemiol , vol.162 , pp. 618-620
    • Hernán, M.A.1
  • 18
    • 70349349170 scopus 로고    scopus 로고
    • Cambridge: Cambridge University Press
    • Pearl J. Causality. 2nd ed. Cambridge: Cambridge University Press; 2009.
    • (2009) Causality 2nd Ed
    • Pearl, J.1
  • 19
    • 0032529330 scopus 로고    scopus 로고
    • G-estimation of causal effects: Isolated systolic hypertension and cardiovascular death in the Framingham Heart Study
    • Witteman JC, D'Agostino RB, Stijnen T, et al. G-estimation of causal effects: isolated systolic hypertension and cardiovascular death in the Framingham Heart Study. Am J Epidemiol. 1998;148:390-401.
    • (1998) Am J Epidemiol , vol.148 , pp. 390-401
    • Witteman, J.C.1    D'Agostino, R.B.2    Stijnen, T.3
  • 20
    • 0026643893 scopus 로고
    • G-estimation of the effect of prophylaxis therapy for Pneumocystis carinii pneumonia on the survival of AIDS patients
    • Robins JM, Blevins D, Ritter G, Wulfsohn M. G-estimation of the effect of prophylaxis therapy for Pneumocystis carinii pneumonia on the survival of AIDS patients. Epidemiology. 1992;3:319-336.
    • (1992) Epidemiology , vol.3 , pp. 319-336
    • Robins, J.M.1    Blevins, D.2    Ritter, G.3    Wulfsohn, M.4
  • 21
    • 84890069904 scopus 로고    scopus 로고
    • An organizational schema for epidemiologic causal effects
    • G atto NM, Campbell UB, Schwartz S. An organizational schema for epidemiologic causal effects. Epidemiology. 2014;25:88-97.
    • (2014) Epidemiology , vol.25 , pp. 88-97
    • Gatto, N.M.1    Campbell, U.B.2    Schwartz, S.3
  • 22
    • 84890107266 scopus 로고    scopus 로고
    • Commentary: Extending organizational schema for causal effects
    • Hoggatt KJ, Greenland S. Commentary: extending organizational schema for causal effects. Epidemiology. 2014;25:98-102.
    • (2014) Epidemiology , vol.25 , pp. 98-102
    • Hoggatt, K.J.1    Greenland, S.2
  • 23
    • 1542532754 scopus 로고    scopus 로고
    • A proportional hazards model for the subdistribution of a competing risk
    • Fine JP, Grey RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94:496-509.
    • (1999) J Am Stat Assoc , vol.94 , pp. 496-509
    • Fine, J.P.1    Grey, R.J.2
  • 24
    • 84892701287 scopus 로고    scopus 로고
    • Invited commentary: Composite outcomes as an attempt to escape from selection bias and related paradoxes
    • Hernán MA, Schisterman EF, Hernández-Diáz S. Invited commentary: composite outcomes as an attempt to escape from selection bias and related paradoxes. Am J Epidemiol. 2014;179:368-370.
    • (2014) Am J Epidemiol , vol.179 , pp. 368-370
    • Hernán, M.A.1    Schisterman, E.F.2    Hernández-Diáz, S.3
  • 25
    • 84905584710 scopus 로고    scopus 로고
    • A nearly unavoidable mechanism for collider bias with index-event studies
    • Flanders WD, Eldridge RC, McClellan W. A nearly unavoidable mechanism for collider bias with index-event studies. Epidemiology. 2014;25:762-764.
    • (2014) Epidemiology , vol.25 , pp. 762-764
    • Flanders, W.D.1    Eldridge, R.C.2    McClellan, W.3
  • 26
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • Greenland S, Robins J, Pearl J. Confounding and collapsibility in causal inference. Stat Sci. 1999;14:29-46.
    • (1999) Stat Sci , vol.14 , pp. 29-46
    • Greenland, S.1    Robins, J.2    Pearl, J.3
  • 28
    • 73849111722 scopus 로고    scopus 로고
    • The hazards of hazard ratios
    • Hernán MA. The hazards of hazard ratios. Epidemiology. 2010;21: 13-15.
    • (2010) Epidemiology , vol.21 , pp. 13-15
    • Hernán, M.A.1
  • 29
    • 33845368290 scopus 로고    scopus 로고
    • Causal inference through potential outcomes and principal stratification: Application to studies with censoring" due to death
    • Rubin DB. Causal inference through potential outcomes and principal stratification: application to studies with "censoring" due to death. Stat Sci. 2006:299-309.
    • (2006) Stat Sci , pp. 299-309
    • Rubin, D.B.1
  • 30
    • 0032797920 scopus 로고    scopus 로고
    • Individual causal models and population system models in epidemiology
    • Koopman JS, Lynch JW. Individual causal models and population system models in epidemiology. Am J Public Health. 1999;89:1170-1174.
    • (1999) Am J Public Health , vol.89 , pp. 1170-1174
    • Koopman, J.S.1    Lynch, J.W.2
  • 31
    • 84972506931 scopus 로고
    • Comment: Neyman (1923) and causal inference in experiments and observational studies
    • Rubin DB. Comment: Neyman (1923) and causal inference in experiments and observational studies. Stat Sci. 1990;5:472-480.
    • (1990) Stat Sci , vol.5 , pp. 472-480
    • Rubin, D.B.1
  • 32
    • 0022973522 scopus 로고
    • Identifiability, exchangeability, and epidemiological confounding
    • Greenland S, Robins JM. Identifiability, exchangeability, and epidemiological confounding. Int J Epidemiol. 1986;15:413-419.
    • (1986) Int J Epidemiol , vol.15 , pp. 413-419
    • Greenland, S.1    Robins, J.M.2
  • 33
    • 84947046558 scopus 로고    scopus 로고
    • Summary of relationships between exchangeability, biasing paths and bias
    • Jun 4. [Epub ahead of print]
    • Flanders W, Eldridge R. Summary of relationships between exchangeability, biasing paths and bias. Eur J Epidemiol. 2014 Jun 4. [Epub ahead of print].
    • (2014) Eur J Epidemiol
    • Flanders, W.1    Eldridge, R.2
  • 34
    • 80051892522 scopus 로고    scopus 로고
    • Controlled direct and mediated effects: Definition, identification and bounds
    • Vander Weele TJ. Controlled direct and mediated effects: definition, identification and bounds. Scand Stat Theory Appl. 2011;38: 551-563.
    • (2011) Scand Stat Theory Appl , vol.38 , pp. 551-563
    • Vander Weele, T.J.1
  • 35
    • 84971367849 scopus 로고    scopus 로고
    • Ecologic studies
    • Rothman KJ, Greenland S, Lash TL, eds Philadelphia, PA: Lippincott Williams & Wilkins
    • Morgenstern H. Ecologic studies. In: Rothman KJ, Greenland S, Lash TL, eds. Modern Epidemiology. 3rd ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2008:511-531.
    • (2008) Modern Epidemiology. 3rd Ed , pp. 511-531
    • Morgenstern, H.1
  • 36
    • 0035711683 scopus 로고    scopus 로고
    • Ecologic versus individual-level sources of bias in ecologic estimates of contextual health effects
    • Greenland S. Ecologic versus individual-level sources of bias in ecologic estimates of contextual health effects. Int J Epidemiol. 2001;30:1343-1350.
    • (2001) Int J Epidemiol , vol.30 , pp. 1343-1350
    • Greenland, S.1
  • 37
    • 80051541618 scopus 로고    scopus 로고
    • Causal mediation analysis with survival data
    • Vander Weele TJ. Causal mediation analysis with survival data. Epidemiology. 2011;22:582-585.
    • (2011) Epidemiology , vol.22 , pp. 582-585
    • Vander Weele, T.J.1
  • 38
    • 0021983786 scopus 로고
    • Sick individuals and sick populations
    • Rose G. Sick individuals and sick populations. Int J Epidemiol. 1985;14:32-38.
    • (1985) Int J Epidemiol , vol.14 , pp. 32-38
    • Rose, G.1
  • 39
    • 0028859589 scopus 로고
    • The health of persons, populations, and planets: Epidemiology comes full circle
    • McMichael AJ. The health of persons, populations, and planets: epidemiology comes full circle. Epidemiology. 1995;6:633-636.
    • (1995) Epidemiology , vol.6 , pp. 633-636
    • McMichael, A.J.1


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