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.

Package details

AuthorMartijn Schuemie [aut, cre], Marc Suchard [aut]
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 CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EmpiricalCalibration")

Try the EmpiricalCalibration package in your browser

Any scripts or data that you put into this service are public.

EmpiricalCalibration documentation built on Nov. 25, 2018, 1:04 a.m.