Literature DB >> 22596933

Commentary: reporting and assessing evidence for interaction: why, when and how?

David Clayton.   

Abstract

Mesh:

Year:  2012        PMID: 22596933      PMCID: PMC3396319          DOI: 10.1093/ije/dys069

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


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  18 in total

1.  Presenting statistical uncertainty in trends and dose-response relations.

Authors:  S Greenland; K B Michels; J M Robins; C Poole; W C Willett
Journal:  Am J Epidemiol       Date:  1999-06-15       Impact factor: 4.897

2.  On the relationship of sufficient component cause models with potential outcome (counterfactual) models.

Authors:  W Dana Flanders
Journal:  Eur J Epidemiol       Date:  2006-10-18       Impact factor: 8.082

3.  Floating absolute risk: an alternative to relative risk in survival and case-control analysis avoiding an arbitrary reference group.

Authors:  D F Easton; J Peto; A G Babiker
Journal:  Stat Med       Date:  1991-07       Impact factor: 2.373

4.  Linkage strategies for genetically complex traits. I. Multilocus models.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1990-02       Impact factor: 11.025

Review 5.  Effect modification and the limits of biological inference from epidemiologic data.

Authors:  W D Thompson
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

6.  Causes.

Authors:  K J Rothman
Journal:  Am J Epidemiol       Date:  1976-12       Impact factor: 4.897

7.  Estimation of excess risk from case-control data using Aalen's linear regression model.

Authors:  O Borgan; B Langholz
Journal:  Biometrics       Date:  1997-06       Impact factor: 2.571

8.  A linear regression model for the analysis of life times.

Authors:  O O Aalen
Journal:  Stat Med       Date:  1989-08       Impact factor: 2.373

9.  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

10.  Sick individuals and sick populations.

Authors:  G Rose
Journal:  Int J Epidemiol       Date:  1985-03       Impact factor: 7.196

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  2 in total

1.  Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Authors:  Carolyn M Hutter; Leah E Mechanic; Nilanjan Chatterjee; Peter Kraft; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2013-10-05       Impact factor: 2.135

2.  Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.

Authors:  Lue Ping Zhao; Wenhong Fan; Gary Goodman; Jerry Radich; Paul Martin
Journal:  Genet Epidemiol       Date:  2015-02-18       Impact factor: 2.135

  2 in total

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