To cite LocalControl in publications use:
Lauve NR, Nelson SJ, Young SS, Obenchain RL, Lambert CG (2020). “LocalControl: An R Package for Comparative Safety and Effectiveness Research.” Journal of Statistical Software, 96(4), 1–32. doi:10.18637/jss.v096.i04.
Corresponding BibTeX entry:
@Article{JSSv096i04,
author = {Nicolas R Lauve and Stuart J Nelson and S Stanley Young
and Robert L Obenchain and Christophe G Lambert},
title = {LocalControl: An R Package for Comparative Safety and
Effectiveness Research},
journal = {Journal of Statistical Software},
year = {2020},
volume = {96},
number = {4},
pages = {1--32},
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},
}