Description
Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence.
Description
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 <doi:10.18637/jss.v096.i04>.
README.md
LocalControl
Introduction
LocalControl is an R package implementing novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes.
See R help pages for examples on how to run each of the package functions.
Getting Involved
- Package manual: LocalControl manual
- Developer questions/comments/feedback: OHDSI Forum
- We use the GitHub issue tracker for all bugs/issues/enhancements
License
LocalControl is licensed under Apache License 2.0
Development
Development status
Stable? (Let people know what their expectations should be)