Literature DB >> 21448741

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

Etsuji Suzuki1, Eiji Yamamoto, Toshihide Tsuda.   

Abstract

The assessment of mediation and mechanism is one way to more deeply explore cause-effect relationships, providing a stronger test and explanation of the observed associations. Most previous studies have described direct and indirect effects in terms of potential outcomes and response types, exploring mediation analysis in the counterfactual (= potential-outcome) framework. A recent paper by Hafeman (Eur J Epidemiol 23(11):711-721, 2008) provided a conceptual description of mediation in the sufficient-component cause framework, and VanderWeele (Eur J Epidemiol 24(5):217-224, 2009) explored the distinctions and relationships between the concepts of mediation and mechanism. This study builds on this prior work and demonstrates that further insight can be given by elucidating the concepts of mediation and mechanism in the sufficient-component cause framework, distinguishing their operation from presence. The careful consideration of the concepts of mediation and mechanism can clarify the relationship between them. Then, the present article describes how investigators can identify mediation as well as mechanism by showing their correspondence with direct and indirect effects in the counterfactual framework. This study also demonstrates how a researcher can decompose the total effect into the effect due to mediated paths and the effect due to non-mediated paths in terms of the probabilities of background factors of sufficient causes.

Mesh:

Year:  2011        PMID: 21448741     DOI: 10.1007/s10654-011-9568-3

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  28 in total

Review 1.  An overview of relations among causal modelling methods.

Authors:  Sander Greenland; Babette Brumback
Journal:  Int J Epidemiol       Date:  2002-10       Impact factor: 7.196

2.  Attributable fractions for sufficient cause interactions.

Authors:  Tyler J VanderWeele
Journal:  Int J Biostat       Date:  2010-02-22       Impact factor: 0.968

3.  A general approach to causal mediation analysis.

Authors:  Kosuke Imai; Luke Keele; Dustin Tingley
Journal:  Psychol Methods       Date:  2010-12

4.  From counterfactuals to sufficient component causes and vice versa.

Authors:  Tyler J VanderWeele; Miguel A Hernán
Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 8.082

5.  Marginal structural models for the estimation of direct and indirect effects.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2009-01       Impact factor: 4.822

6.  Mediation and mechanism.

Authors:  Tyler J VanderWeele
Journal:  Eur J Epidemiol       Date:  2009-03-28       Impact factor: 8.082

7.  A sufficient cause based approach to the assessment of mediation.

Authors:  Danella M Hafeman
Journal:  Eur J Epidemiol       Date:  2008-09-17       Impact factor: 8.082

8.  "Proportion explained": a causal interpretation for standard measures of indirect effect?

Authors:  Danella M Hafeman
Journal:  Am J Epidemiol       Date:  2009-10-22       Impact factor: 4.897

Review 9.  Conceptual problems in the definition and interpretation of attributable fractions.

Authors:  S Greenland; J M Robins
Journal:  Am J Epidemiol       Date:  1988-12       Impact factor: 4.897

10.  Invariants and noninvariants in the concept of interdependent effects.

Authors:  S Greenland; C Poole
Journal:  Scand J Work Environ Health       Date:  1988-04       Impact factor: 5.024

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  13 in total

1.  Causal mediation analysis for longitudinal data with exogenous exposure.

Authors:  M-A C Bind; T J Vanderweele; B A Coull; J D Schwartz
Journal:  Biostatistics       Date:  2015-08-13       Impact factor: 5.899

2.  Subtleties of explanatory language: what is meant by "mediation"?

Authors:  Tyler J Vanderweele
Journal:  Eur J Epidemiol       Date:  2011-05-08       Impact factor: 8.082

3.  Invited Commentary: The Continuing Need for the Sufficient Cause Model Today.

Authors:  Tyler J VanderWeele
Journal:  Am J Epidemiol       Date:  2017-06-01       Impact factor: 4.897

4.  Quantile causal mediation analysis allowing longitudinal data.

Authors:  M-A Bind; T J VanderWeele; J D Schwartz; B A Coull
Journal:  Stat Med       Date:  2017-08-07       Impact factor: 2.373

5.  Causal mediation analysis with multiple causally non-ordered mediators.

Authors:  Masataka Taguri; John Featherstone; Jing Cheng
Journal:  Stat Methods Med Res       Date:  2015-11-23       Impact factor: 3.021

6.  A three-way decomposition of a total effect into direct, indirect, and interactive effects.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2013-03       Impact factor: 4.822

7.  A unification of mediation and interaction: a 4-way decomposition.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2014-09       Impact factor: 4.822

8.  Long working hours and metabolic syndrome among Japanese men: a cross-sectional study.

Authors:  Tomoko Kobayashi; Etsuji Suzuki; Soshi Takao; Hiroyuki Doi
Journal:  BMC Public Health       Date:  2012-05-31       Impact factor: 3.295

9.  Social and geographic inequalities in premature adult mortality in Japan: a multilevel observational study from 1970 to 2005.

Authors:  Etsuji Suzuki; Saori Kashima; Ichiro Kawachi; S V Subramanian
Journal:  BMJ Open       Date:  2012-03-02       Impact factor: 2.692

10.  Understanding and misunderstanding randomized controlled trials.

Authors:  Angus Deaton; Nancy Cartwright
Journal:  Soc Sci Med       Date:  2017-12-25       Impact factor: 5.379

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