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LocalControl: An R Package for Comparative Safety and Effectiveness Research.

Authors :
Lauve NR
Nelson SJ
Young SS
Obenchain RL
Lambert CG
Source :
Journal of statistical software [J Stat Softw] 2020; Vol. 96 (4). Date of Electronic Publication: 2020 Nov 29.
Publication Year :
2020

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.

Details

Language :
English
ISSN :
1548-7660
Volume :
96
Issue :
4
Database :
MEDLINE
Journal :
Journal of statistical software
Publication Type :
Academic Journal
Accession number :
34349611
Full Text :
https://doi.org/10.18637/jss.v096.i04