OHDSI/LocalControl: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence
Version 1.1.1

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 nonparametric bias correction when comparing treatments in cross-sectional, case-control, and survival analysis settings, including competing risks with censoring. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups.

Getting started

Package details

Maintainer
LicenseApache License 2.0 | file LICENSE
Version1.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("OHDSI/LocalControl")
OHDSI/LocalControl documentation built on July 13, 2018, 3:21 p.m.