Model-Based Estimation of Confounder-Adjusted Attributable
Fractions
Description
Estimates the attributable fraction in different sampling designs
adjusted for measured confounders using logistic regression (cross-sectional
and case-control designs), conditional logistic regression (matched case-control
design), Cox proportional hazard regression (cohort design with time-to-
event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis.
An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) .