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.
|Author||Martijn Schuemie, Marc Suchard|
|Maintainer||Martijn Schuemie <[email protected]>|
|License||Apache License 2.0|
|Package repository||View on GitHub|
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