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 gmail.com> |
| License: |
GPL-2 | GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
AF results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=AF
to link to this page.