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. 1â32. Available from <doi:10.18637/jss.v096.i04>.
Version: 1.1.4 Depends: R (≥ 3.0.0) Imports: Rcpp, gss, cluster, lattice, stats, graphics LinkingTo: Rcpp Suggests: colorspace, RColorBrewer, data.table, ggplot2, gridExtra, rpart, rpart.plot, xtable, knitr Published: 2024-09-04 DOI: 10.32614/CRAN.package.LocalControl Author: Nicolas R. Lauve [aut], Stuart J. Nelson [aut], S. Stanley Young [aut], Robert L. Obenchain [aut], Melania Pintilie [ctb], Martin Kutz [ctb], Christophe G. Lambert [aut, cre] Maintainer: Christophe G. Lambert <cglambert at salud.unm.edu> BugReports: https://github.com/OHDSI/LocalControl/issues License: Apache License 2.0 | file LICENSE URL: https://github.com/OHDSI/LocalControl NeedsCompilation: yes Citation: LocalControl citation info Materials: README NEWS CRAN checks: LocalControl results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=LocalControl to link to this page.
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