CRAN

AF 0.1.4

Model-Based Estimation of Confounder-Adjusted Attributable Fractions

Released Feb 11, 2017 by Elisabeth Dahlqwist and Arvid Sjölander

This package cannot yet be used with Renjin it depends on other packages which are not available: stdReg 2.1 and drgee 1.1.6

Dependencies

stdReg 2.1 drgee 1.1.6 data.table 1.10.4 survival 2.40-1

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) and gamma-frailty model with a Weibull baseline hazard. The variance of the estimator is obtained by combining the delta method with the the sandwich formula. Dahlqwist et al.(2016) .

Source

R

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