Quantifying and estimating additive measures of interaction from case-control data

In this paper we develop a general framework for quantifying how binary risk factors jointly influence a binary outcome. Our key result is an additive expansion of odds ratios as a sum of marginal effects and interaction terms of varying order. These odds ratio expansions are used for estimating the...

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Veröffentlicht in:	arXiv.org 2017-07
Hauptverfasser:	Hössjer, Ola, Alfredsson, Lars, Hedström, Anna Karin, Lekman, Magnus, Kockum, Ingrid, Olsson, Tomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Confidence intervals Control data (computers) Estimation Multiple sclerosis Regression models Risk analysis Risk factors Risk management Statistical analysis Statistics - Methodology
Online-Zugang:	Volltext
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