EmpiricalCalibration (2.0.0)

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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.

Maintainer: Martijn Schuemie
Author(s): Martijn Schuemie [aut, cre], Marc Suchard [aut]

License: Apache License 2.0

Uses: ggplot2, gridExtra, knitr, rmarkdown

Released about 1 month ago.

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