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pifpaf: 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 Unpublished manuscript.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.
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Package details |
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| Author | 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] |
| Maintainer | Rodrigo Zepeda-Tello <rzepeda17@gmail.com> |
| License | GPL-3 | file LICENSE |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
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