Work

Estimation of the Relative Excess Risk Due to Interaction and Associated Confidence Bounds

Year: 2009

Type: article

Abstract: The relative excess risk due to interaction (RERI) provides a useful metric of departure from additivity of effects on a relative risk scale. In this paper, the authors show that RERI is identical to the product term in a linear odds ratio or a linear relative risk model. SAS and STATA codes are provided for fitting a linear odds ratio model that directly parameterizes RERI. In addition, this paper presents a method for obtaining likelihood-based 95% confidence bound estimates for RERI. The authors show that likelihood-based confidence intervals may differ substantially from the asymptotic confidence interval estimates advocated by previous authors. The approach presented in this paper should facilitate estimation of RERI and associated likelihood-based confidence bounds, by using standard statistical packages.

Source: American Journal of Epidemiology

DOI: 10.1093/aje/kwn411

Authors: David B. Richardson, Jay S. Kaufman

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, University of North Carolina at Chapel Hill, Eunice Kennedy Shriver National Institute of Child Health and Human Development