Risk ratios and risk differences are estimated using regression models that allow for binary, categorical, and continuous exposures and confounders. Implemented are marginal standardization after fitting logistic models (g-computation) with delta-method and bootstrap standard errors, Miettinen's case-duplication approach (Schouten et al. 1993, <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting values from Poisson models (Spiegelman and Hertzmark 2005, <doi:10.1093/aje/kwi188>), and others.
Version: 0.4.3 Depends: R (≥ 3.5.0) Imports: boot, bcaboot, broom, dplyr, purrr, rlang, sandwich, stats, tibble, tidyr Suggests: addreg, covr, knitr, logbin, MASS, rmarkdown, testthat Published: 2025-05-30 DOI: 10.32614/CRAN.package.risks Author: Konrad Stopsack [aut, cre, cph], Travis Gerke [aut] Maintainer: Konrad Stopsack <stopsack at post.harvard.edu> BugReports: https://github.com/stopsack/risks/issues License: GPL-3 URL: https://stopsack.github.io/risks/ NeedsCompilation: no CRAN checks: risks results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=risks to link to this page.
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