Literature DB >> 25613424

A competing risks approach to "biologic" interaction.

Per Kragh Andersen1, Anders Skrondal.   

Abstract

In epidemiology, the concepts of "biologic" and "statistical" interactions have been the subject of extensive debate. We present a new approach to biologic interaction based on Rothman's original (Am J Epidemiol, 104:587-592, 1976) discussion of sufficient causes. We do this in a probabilistic framework using competing risks and argue that sufficient cause interaction between two factors can be evaluated via the parameters in a particular statistical model, the additive hazard rate model. We present empirical conditions for presence of sufficient cause interaction and an example based on data from a liver cirrhosis trial illustrates the ideas.

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Year:  2015        PMID: 25613424     DOI: 10.1007/s10985-015-9318-z

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  12 in total

1.  Additive interaction in survival analysis: use of the additive hazards model.

Authors:  Naja Hulvej Rod; Theis Lange; Ingelise Andersen; Jacob Louis Marott; Finn Diderichsen
Journal:  Epidemiology       Date:  2012-09       Impact factor: 4.822

2.  Sufficient cause interactions and statistical interactions.

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

3.  Causes.

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

4.  On estimation in relative survival.

Authors:  Maja Pohar Perme; Janez Stare; Jacques Estève
Journal:  Biometrics       Date:  2011-06-20       Impact factor: 2.571

5.  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

6.  Commentary: much ado about interactions.

Authors:  Anders Skrondal
Journal:  Epidemiology       Date:  2014-09       Impact factor: 4.822

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

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

8.  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

9.  Interaction between discrete causes.

Authors:  J S Koopman
Journal:  Am J Epidemiol       Date:  1981-06       Impact factor: 4.897

10.  Concepts of interaction.

Authors:  K J Rothman; S Greenland; A M Walker
Journal:  Am J Epidemiol       Date:  1980-10       Impact factor: 4.897

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  1 in total

1.  Long-chain n-3 and n-6 polyunsaturated fatty acids and risk of atrial fibrillation: Results from a Danish cohort study.

Authors:  Lotte Maxild Mortensen; Søren Lundbye-Christensen; Erik Berg Schmidt; Philip C Calder; Mikkel Heide Schierup; Anne Tjønneland; Erik T Parner; Kim Overvad
Journal:  PLoS One       Date:  2017-12-22       Impact factor: 3.240

  1 in total

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