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

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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Bibliographic Details
Main Authors: Ola Hössjer, Lars Alfredsson, Anna Karin Hedström, Magnus Lekman, Ingrid Kockum, Tomas Olsson
Format: Article
Language:English
Published: VTeX 2017-04-01
Series:Modern Stochastics: Theory and Applications
Subjects:
Additive odds model
attributable proportion
case-control data
expansion of odds ratios
interaction of risk factors
Logistic regression
Online Access:https://vmsta.vtex.vmt/doi/10.15559/17-VMSTA77

Internet

https://vmsta.vtex.vmt/doi/10.15559/17-VMSTA77

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