Estimates flexible epidemiological effect measures including both differences and ratios using the parametric G-formula developed as an alternative to inverse probability weighting. It is useful for estimating the impact of interventions in the presence of treatment-confounder-feedback. G-computation was originally described by Robbins (1986) <doi:10.1016/0270-0255(86)90088-6> and has been described in detail by Ahern, Hubbard, and Galea (2009) <doi:10.1093/aje/kwp015>; Snowden, Rose, and Mortimer (2011) <doi:10.1093/aje/kwq472>; and Westreich et al. (2012) <doi:10.1002/sim.5316>.
Version: 1.0.1 Depends: R (≥ 3.5) Imports: boot, dplyr, ggplot2, ggpubr, magrittr, MASS, methods, purrr, rlang, stats, tidyr, tidyselect Suggests: knitr, rmarkdown, testthat, tidyverse, printr, stringr, formatR, sandwich Published: 2022-05-31 DOI: 10.32614/CRAN.package.riskCommunicator Author: Jessica Grembi [aut, cre, cph], Elizabeth Rogawski McQuade [ctb] Maintainer: Jessica Grembi <jess.grembi at gmail.com> License: GPL-3 NeedsCompilation: no Materials: README NEWS In views: Epidemiology CRAN checks: riskCommunicator results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=riskCommunicator to link to this page.
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