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.
|Author||Martijn Schuemie [aut, cre], Marc Suchard [aut]|
|Maintainer||Martijn Schuemie <firstname.lastname@example.org>|
|License||Apache License 2.0|
|Package repository||View on CRAN|
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