OHDSI/EmpiricalCalibration: Routines for Performing Empirical Calibration of Observational Study Estimates

Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls.

Getting started

Package details

MaintainerMartijn Schuemie <[email protected]>
LicenseApache License 2.0
Version1.4.0
URL https://ohdsi.github.io/EmpiricalCalibration https://github.com/OHDSI/EmpiricalCalibration
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/EmpiricalCalibration")
OHDSI/EmpiricalCalibration documentation built on Nov. 28, 2018, 1:03 p.m.