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 pvalue, 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 


Author  Martijn Schuemie [aut, cre], Marc Suchard [aut] 
Maintainer  Martijn Schuemie <schuemie@ohdsi.org> 
License  Apache License 2.0 
Version  2.0.2 
URL  https://ohdsi.github.io/EmpiricalCalibration https://github.com/OHDSI/EmpiricalCalibration 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.