Identification of operating mediation and mechanism in the sufficient-component cause framework

European Journal of Epidemiology

Volumn 26, Issue 5, 2011, Pages 347-357

  Suzuki, Etsuji ^a   Yamamoto, Eiji ^b   Tsuda, Toshihide ^c  

^a OKAYAMA UNIVERSITY   (Japan)

^b OKAYAMA UNIVERSITY OF SCIENCE   (Japan)

^c OKAYAMA UNIVERSITY   (Japan)

Author keywords

Causal inference; Counterfactual; Direct and indirect effects; Mechanism; Mediation; Sufficient cause

Indexed keywords

ARTICLE; CAUSAL ATTRIBUTION; CONCEPTUAL FRAMEWORK; EPIDEMIOLOGY; OUTCOME ASSESSMENT; PREVALENCE; PROBABILITY; STATISTICAL ANALYSIS;

CAUSALITY; DATA INTERPRETATION, STATISTICAL; EFFECT MODIFIERS (EPIDEMIOLOGY); EPIDEMIOLOGIC METHODS; HUMANS;

EID: 79959766429     PISSN: 03932990     EISSN: 15737284     Source Type: Journal    
DOI: 10.1007/s10654-011-9568-3     Document Type: Article

References (35)

1. Pearl J. Causality: models, reasoning, and inference. 2nd ed. New York, NY: Cambridge University Press; 2009.
2. Hafeman DM, Schwartz S. Opening the black box: a motivation for the assessment of mediation. Int J Epidemiol. 2009;38(3):838-45.
3. Hafeman DM. A sufficient cause based approach to the assessment of mediation. Eur J Epidemiol. 2008;23(11):711-21.
4. VanderWeele TJ. Mediation and mechanism. Eur J Epidemiol. 2009;24(5):217-24.
5. Hafeman DM. "Proportion explained": a causal interpretation for standard measures of indirect effect? Am J Epidemiol. 2009;170(11):1443-8.
6. Hafeman DM, VanderWeele TJ. Alternative assumptions for the identification of direct and indirect effects. Epidemiology. 2011. doi:10.1097/EDE.0b013e3181c311b2.
7. Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Annu Rev Public Health. 2000;21:121-45. (Pubitemid 30480319)
8. Rothman KJ, Greenland S, Poole C, et al. Causation and causal inference. In: Rothman KJ, Greenland S, Lash TL, editors. Modern Epidemiology. 3rd ed. Philadelphia, PA: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008. p. 5-31.
9. Greenland S, Rothman KJ, Lash TL. Measures of effect and measures of association. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. 3rd ed. Philadelphia, PA: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008. p. 51-70.
10. Hernán MA. A definition of causal effect for epidemiological research. J Epidemiol Community Health. 2004;58(4):265-71. (Pubitemid 38406475)
11. Maldonado G, Greenland S. Estimating causal effects. Int J Epidemiol. 2002;31(2):422-9. (Pubitemid 34537803)
12. Greenland S, Lash TL, Rothman KJ. Concepts of interaction. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. 3rd ed. Philadelphia, PA: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008. p. 71-83.
13. Greenland S, Poole C. Invariants and noninvariants in the concept of interdependent effects. Scand J Work Environ Health. 1988;14(2):125-9.
14. Miettinen OS. Causal and preventive interdependence. Elementary principles. Scand J Work Environ Health. 1982;8(3):159-68. (Pubitemid 12002583)
15. Petersen ML, Sinisi SE, van der Laan MJ. Estimation of direct causal effects. Epidemiology. 2006;17(3):276-84.
16. Robins JM. Semantics of causal DAG models and the identifi- cation of direct and indirect effects. In: Green PJ, Hjort NL, Richardson S, editors. Highly Structured Stocahstic Systems. Oxford, New York: Oxford statistical science series 2003;27:70-81.
17. VanderWeele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition. Stat Interface. 2009;2(4):457-68.
18. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3(2):143-55.
19. VanderWeele TJ. Bias formulas for sensitivity analysis for direct and indirect effects. Epidemiology. 2010;21(4):540-51.
20. Rothman KJ. Causes. Am J Epidemiol. 1976;104(6):587-92.
21. Khoury MJ, Flanders WD, Greenland S, et al. On the measurement of susceptibility in epidemiologic studies. Am J Epidemiol. 1989;129(1):183-90. (Pubitemid 19030711)
22. Gatto NM, Campbell UB. Redundant causation from a sufficient cause perspective. Epidemiol Perspect Innov. 2010;7(1):5.
23. VanderWeele TJ. Attributable fractions for sufficient cause interactions. Int J Biostat. 2010;6(2):5.
24. Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol. 1988;128(6):1185-97. (Pubitemid 19015492)
25. Robins JM, Greenland S. Estimability and estimation of excess and etiologic fractions. Stat Med. 1989;8(7):845-59. (Pubitemid 19178944)
26. Robins JM, Greenland S. The probability of causation under a stochastic model for individual risk. Biometrics. 1989;45(4):1125-38. (Pubitemid 20085455)
27. VanderWeele TJ. Marginal structural models for the estimation of direct and indirect effects. Epidemiology. 2009;20(1):18-26.
28. Vansteelandt S. Estimating direct effects in cohort and case-control studies. Epidemiology. 2009;20(6):851-60.
29. VanderWeele TJ, Vansteelandt S. Odds ratios for mediation analysis for a dichotomous outcome. Am J Epidemiol. 2010;172(12):1339-48.
30. Imai K, Keele L, Tingley D. A general approach to causal mediation analysis. Psychol Methods. 2010;15(4):309-34.
31. Imai K, Keele L, Yamamoto T. Identification, inference and sensitivity analysis for causal mediation effects. Stat Sci. 2010;25(1):51-71.
32. Flanders WD. On the relationship of sufficient component cause models with potential outcome (counterfactual) models. Eur J Epidemiol. 2006;21(12):847-53. (Pubitemid 46197149)
33. VanderWeele TJ, Hernán MA. From counterfactuals to sufficient component causes and vice versa. Eur J Epidemiol. 2006;21(12):855-8. (Pubitemid 46197150)
34. Suzuki E,Yamamoto E, Tsuda T.Onthe link between sufficient-cause model and potential-outcome model. Epidemiology. 2011;22(1):131-2.
35. Greenland S, Brumback B. An overview of relations among causal modelling methods. Int J Epidemiol. 2002;31(5):1030-7. (Pubitemid 35446879)