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EmpiricalCalibration: 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. 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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Package details |
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| Author | Martijn Schuemie [aut, cre] (<https://orcid.org/0000-0002-0817-5361>), Marc Suchard [aut] (<https://orcid.org/0000-0001-9818-479X>) |
| Maintainer | Martijn Schuemie <schuemie@ohdsi.org> |
| License | Apache License 2.0 |
| Version | 3.1.2 |
| URL | https://ohdsi.github.io/EmpiricalCalibration/ https://github.com/OHDSI/EmpiricalCalibration |
| Package repository | View on CRAN |
| Installation |
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