AF: Model-Based Estimation of Confounder-Adjusted Attributable Fractions

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) <doi:10.1007/s00439-019-02006-8>.

Version: 0.1.5
Depends: stats, base, graphics, survival, drgee, stdReg, R (≥ 3.5.0), data.table, ivtools
Published: 2019-05-20
Author: Elisabeth Dahlqwist and Arvid Sjolander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist88 at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: AF results


Reference manual: AF.pdf
Package source: AF_0.1.5.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: AF_0.1.5.tgz, r-release: AF_0.1.5.tgz, r-oldrel: AF_0.1.5.tgz
Old sources: AF archive


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