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
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.
Given we have a large manual, building a compressed pdf of the vignette may be required to not have the submission rejected. Within RStudio this can be done via:
devtools::build(args = c('--compact-vignettes=both'))
LocalControl is licensed under Apache License 2.0