Routines for Performing Empirical Calibration of Observational
Study Estimates
R package EmpiricalCalibration version 2.0.0
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.
Software
Imports: ggplot2 (>= 2.0.0), gridExtra, methods
Suggests: knitr, rmarkdown
Martijn Schuemie <schuemie@ohdsi.org>
Comprehensive R Archive Network (CRAN)
Martijn Schuemie [aut, cre],
Marc Suchard [aut]
Apache License 2.0
2019-07-08
application/tgz
https://CRAN.R-project.org/package=EmpiricalCalibration