# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "episensr" in publications use:' type: software license: GPL-2.0-only title: 'episensr: Basic Sensitivity Analysis of Epidemiological Results' version: 1.3.0 doi: 10.5281/zenodo.8299430 identifiers: - type: doi value: 10.32614/CRAN.package.episensr abstract: 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). authors: - family-names: Haine given-names: Denis email: denis.haine@proton.me orcid: https://orcid.org/0000-0002-6691-7335 preferred-citation: type: generic title: 'The episensr package: basic sensitivity analysis of epidemiological results' authors: - family-names: Haine given-names: Denis email: denis.haine@proton.me orcid: https://orcid.org/0000-0002-6691-7335 year: '2023' notes: R package version 1.3.0 doi: 10.5281/zenodo.8299430 url: https://dhaine.github.io/episensr/ repository: https://epiverse-connect.r-universe.dev repository-code: https://github.com/dhaine/episensr commit: fcacc9272fe911c3969ff01714698bedad819caf url: https://dhaine.github.io/episensr/ date-released: '2023-08-29' contact: - family-names: Haine given-names: Denis email: denis.haine@proton.me orcid: https://orcid.org/0000-0002-6691-7335