Literature DB >> 28535245

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

Tyler J VanderWeele.   

Abstract

In this commentary, I review the insights that have been gained using Rothman's sufficient cause model (Am J Epidemiol. 1976;104(6):587-592). Discussion pertains to the relations of the model to similar conceptualizations in other fields of study, the advances and extensions that have been made to the model since the paper's publication, and its relation to questions of actual causation, along with questions concerning the use of the model in the future of epidemiology.
© The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  causation; mechanisms; potential outcomes; sufficient cause

Mesh:

Year:  2017        PMID: 28535245      PMCID: PMC5451286          DOI: 10.1093/aje/kwx083

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  26 in total

1.  Attributable fractions for sufficient cause interactions.

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

2.  Sufficient cause interactions and statistical interactions.

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

3.  Mediation and mechanism.

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

4.  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

5.  Sufficient cause interactions for categorical and ordinal exposures with three levels.

Authors:  Tyler J Vanderweele
Journal:  Biometrika       Date:  2010-06-01       Impact factor: 2.445

6.  Causal interactions in the proportional hazards model.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2011-09       Impact factor: 4.822

7.  Semiparametric tests for sufficient cause interaction.

Authors:  Stijn Vansteelandt; Tyler J VanderWeele; James M Robins
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2012-03       Impact factor: 4.488

8.  Deep determinism and the assessment of mechanistic interaction.

Authors:  Carlo Berzuini; A Philip Dawid
Journal:  Biostatistics       Date:  2012-12-19       Impact factor: 5.899

9.  Case-only gene-environment interaction studies: when does association imply mechanistic interaction?

Authors:  Tyler J VanderWeele; Sonia Hernández-Díaz; Miguel A Hernán
Journal:  Genet Epidemiol       Date:  2010-05       Impact factor: 2.135

10.  Commentary: On Causes, Causal Inference, and Potential Outcomes.

Authors:  Tyler J VanderWeele
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 9.685

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  1 in total

1.  Educational note: types of causes.

Authors:  Neil Pearce; Jan P Vandenbroucke
Journal:  Int J Epidemiol       Date:  2020-04-01       Impact factor: 7.196

  1 in total

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