Calculating measures of biological interaction | Zendy

Tomas Andersson | Zendy; Lars Alfredsson | Zendy; Henrik Källberg | Zendy; Slobodan Zdravković | Zendy; Anders Ahlbom | Zendy

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Calculating measures of biological interaction

Author(s) -

Tomas Andersson,

Lars Alfredsson,

Henrik Källberg,

Slobodan Zdravković,

Anders Ahlbom

Publication year - 2005

Publication title -

european journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.825

H-Index - 111

eISSN - 1573-7284

pISSN - 0393-2990

DOI - 10.1007/s10654-005-7835-x

Subject(s) - medicine , logistic regression , set (abstract data type) , regression , statistics , additive function , interaction , regression analysis , econometrics , computer science , mathematics , mathematical analysis , programming language

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.

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