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Activity Number: 211 - Disease Prediction
Type: Contributed
Date/Time: Tuesday, August 10, 2021 : 1:30 PM to 3:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #318697
Title: Determining the Appropriate Model for Characterizing Risk Effect Interactions
Author(s): Jimmy Thomas Efird*
Keywords: Effect modification; Interaction

Effect modification can significantly change the interpretation of a risk factor analysis. Understanding the complexities of interactions when analyzing risk effects is important for building multifactorial models and selecting appropriate variables for stratification. In this talk, we will discuss both additive and multiplicative effect modification and further differentiate the various types of interaction models within each category. This is particularly salient in the context of sample size restrictions for vertical interactions and appropriate variance adjustment. We will provide relevant examples for a log-binomial analysis of adjusted relative risks.

Authors who are presenting talks have a * after their name.

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