European Journal of Epidemiology

, Volume 20, Issue 7, pp 575–579

Calculating measures of biological interaction

  • Tomas Andersson
  • Lars Alfredsson
  • Henrik Källberg
  • Slobodan Zdravkovic
  • Anders Ahlbom
Methods

DOI: 10.1007/s10654-005-7835-x

Cite this article as:
Andersson, T., Alfredsson, L., Källberg, H. et al. Eur J Epidemiol (2005) 20: 575. doi:10.1007/s10654-005-7835-x

Abstract

An editorial in this issue explains that the degree of biological interaction between risk factors is measured as the deviation from additivity by the corresponding disease rates and not for example as deviation from multiplicativity. It is the purpose of this article to describe how a logistic regression model, or a Cox regression model, can be defined in order to produce the output that is needed for assessment of biological interaction. We will also demonstrate how common software can be programmed to deliver this output. Finally, we show how this output can be used as input in an Excel sheet that is set up to calculate the measures of biological interaction to be used for the assessment.

Keywords

Biological interactionRERISynergy

Copyright information

© Springer 2005

Authors and Affiliations

  • Tomas Andersson
    • 1
  • Lars Alfredsson
    • 1
    • 2
  • Henrik Källberg
    • 2
  • Slobodan Zdravkovic
    • 2
  • Anders Ahlbom
    • 1
    • 2
  1. 1.Stockholm Centre for Public HealthSweden
  2. 2.Institute of Environmental MedicineStockholmSweden
  3. 3.Stockholm Centre of Public HealthKarolinska University HospitalStockholmSweden