Potential Impact Fraction and Population Attributable Fraction for Cross-Sectional Data

Uses a generalized method to estimate the Potential Impact Fraction (PIF) and the Population Attributable Fraction (PAF) from cross-sectional data. It creates point-estimates, confidence intervals, and estimates of variance. In addition it generates plots for conducting sensitivity analysis. The estimation method corresponds to Zepeda-Tello, Camacho-García-Formentí, et al. 2017. 'Nonparametric Methods to Estimate the Potential Impact Fraction from Cross-sectional Data'. Unpublished manuscript. This package was developed under funding by Bloomberg Philanthropies.


Reference manual

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1.0.0 by Rodrigo Zepeda-Tello, 4 months ago

Browse source code at https://github.com/cran/pifpaf

Authors: Rodrigo Zepeda-Tello [aut, cre], Dalia Camacho-García-Formentí [aut], Tonatiuh Barrientos-Gutiérrez [ctb], Ana Basto-Abreu [ctb], Ariela Braverman-Bronstein [ctb], Dèsirée Vidaña-Pérez [ctb], Frederick Cudhea [ctb], Instituto Nacional de Salud Pública [cph]

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports ggplot2, matrixcalc, MASS, sfsmisc, stats, gridExtra, numDeriv

Suggests testthat, knitr, rmarkdown

See at CRAN