Literature DB >> 23232623

Testing synergisms in a no-redundancy sufficient-cause rate model.

Wen-Chung Lee.   

Abstract

Mesh:

Year:  2013        PMID: 23232623     DOI: 10.1097/EDE.0b013e318277f122

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


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  6 in total

1.  Assessing causal mechanistic interactions: a peril ratio index of synergy based on multiplicativity.

Authors:  Wen-Chung Lee
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

2.  Testing for mechanistic interactions in long-term follow-up studies.

Authors:  Jui-Hsiang Lin; Wen-Chung Lee
Journal:  PLoS One       Date:  2015-03-26       Impact factor: 3.240

3.  A self-consistent probabilistic formulation for inference of interactions.

Authors:  Jorge Fernandez-de-Cossio; Jorge Fernandez-de-Cossio-Diaz; Yasser Perera-Negrin
Journal:  Sci Rep       Date:  2020-12-08       Impact factor: 4.379

4.  Estimation of a common effect parameter from follow-up data when there is no mechanistic interaction.

Authors:  Wen-Chung Lee
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

5.  Complementary Log Regression for Sufficient-Cause Modeling of Epidemiologic Data.

Authors:  Jui-Hsiang Lin; Wen-Chung Lee
Journal:  Sci Rep       Date:  2016-12-13       Impact factor: 4.379

6.  Sharp bounds on sufficient-cause interactions under the assumption of no redundancy.

Authors:  Wen-Chung Lee
Journal:  BMC Med Res Methodol       Date:  2017-04-21       Impact factor: 4.615

  6 in total

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