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

Package: AF
Type: Package
Title: Model-Based Estimation of Confounder-Adjusted Attributable
Fractions
Version: 0.1.2
Date: 2016-02-17
Author: Elisabeth Dahlqwist and Arvid Sjölander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist@ki.se>
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) and Cox proportional hazard regression (cohort design with time-to-event outcome). The variance of the estimator is obtained by combining the delta method with the the sandwich formula.
License: GPL-2 | GPL-3
LazyData: TRUE
Depends: stats, base, graphics, survival, drgee, R (>= 3.0.0),
data.table
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-02-19 11:47:08 UTC; elidah
Repository: CRAN
Date/Publication: 2016-02-19 13:21:35

● Data Source: CranContrib
1 images, 8 functions, 0 datasets
● Reverse Depends: 0