episensr: Basic Sensitivity Analysis of Epidemiological Results

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 Lash T.L, Fox M.P, and Fink A.K. "Applying Quantitative Bias Analysis to Epidemiologic Data", ('Springer', 2021).

Package details

AuthorDenis Haine [aut, cre] (<https://orcid.org/0000-0002-6691-7335>)
MaintainerDenis Haine <denis.haine@gmail.com>
URL https://github.com/dhaine/episensr https://dhaine.github.io/episensr/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the episensr package in your browser

Any scripts or data that you put into this service are public.

episensr documentation built on Aug. 30, 2023, 5:09 p.m.