INSP-RH/pif: 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 Unpublished manuscript.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.

Getting started

Package details

Maintainer
LicenseGPL-3 | file LICENSE
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("INSP-RH/pif")
INSP-RH/pif documentation built on May 7, 2019, 6:01 a.m.