EmpiricalCalibration
3.1.4Routines for Performing Empirical Calibration of Observational Study Estimates
Overview
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. For more details, see Schuemie et al. (2013) doi:10.1002/sim.5925 and Schuemie et al. (2018) doi:10.1073/pnas.1708282114.
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- RR 4.6.0 released · 2026-04-24
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- First published
- 2016-02-15
- Total releases
- 15 / 10 yrs
- License
- Apache License 2.0 OSI
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- ≥ 3.5.0
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- 13 KB / 5 files
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