# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "LocalControl" in publications use:' type: software license: Apache-2.0 title: 'LocalControl: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence' version: 1.1.4 doi: 10.18637/jss.v096.i04 identifiers: - type: doi value: 10.32614/CRAN.package.LocalControl abstract: 'Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups. For further details, please see: Lauve NR, Nelson SJ, Young SS, Obenchain RL, Lambert CG. LocalControl: An R Package for Comparative Safety and Effectiveness Research. Journal of Statistical Software. 2020. p. 1–32. Available from .' authors: - family-names: Lauve given-names: Nicolas R. orcid: https://orcid.org/0000-0002-9348-0319 - family-names: Nelson given-names: Stuart J. orcid: https://orcid.org/0000-0002-8756-0179 - family-names: Young given-names: S. Stanley orcid: https://orcid.org/0000-0001-9449-5478 - family-names: Obenchain given-names: Robert L. orcid: https://orcid.org/0000-0002-8395-1666 - family-names: Lambert given-names: Christophe G. email: cglambert@salud.unm.edu orcid: https://orcid.org/0000-0003-1994-2893 preferred-citation: type: article title: 'LocalControl: An R Package for Comparative Safety and Effectiveness Research' authors: - family-names: Lauve given-names: Nicolas R - family-names: Nelson given-names: Stuart J - family-names: Young given-names: S Stanley - family-names: Obenchain given-names: Robert L - family-names: Lambert given-names: Christophe G journal: Journal of Statistical Software year: '2020' volume: '96' issue: '4' abstract: The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in comparative safety and effectiveness research involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. LocalControl is an open-source tool for researchers whose aim is to generate high quality evidence using observational data. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups. doi: 10.18637/jss.v096.i04 start: '1' end: '32' repository: https://CRAN.R-project.org/package=LocalControl repository-code: https://github.com/OHDSI/LocalControl url: https://github.com/OHDSI/LocalControl date-released: '2024-09-04' contact: - family-names: Lambert given-names: Christophe G. email: cglambert@salud.unm.edu orcid: https://orcid.org/0000-0003-1994-2893