_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-episensr 2.0.0
Propagated dependencies: r-truncnorm@1.0-9 r-triangle@1.0 r-trapezoid@2.0-2 r-mass@7.3-65 r-magrittr@2.0.3 r-lifecycle@1.0.4 r-ggplot2@3.5.2 r-ggdag@0.2.13 r-forcats@1.0.0 r-dagitty@0.3-4 r-cli@3.6.5 r-boot@1.3-31 r-actuar@3.3-5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://codeberg.org/dhaine/episensr
Licenses: GPL 2
Synopsis: Basic Sensitivity Analysis of Epidemiological Results
Description:

Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Fox M.P., MacLehose R.F., and Lash T.L. "Applying Quantitative Bias Analysis to Epidemiologic Data, second ed.", ('Springer', 2021).

Total results: 1