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.
| Version: | 2.0.2 |
| Imports: | ggplot2 (≥ 2.0.0), gridExtra, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-04-07 |
| Author: | Martijn Schuemie [aut, cre], Marc Suchard [aut] |
| Maintainer: | Martijn Schuemie <schuemie at ohdsi.org> |
| BugReports: | https://github.com/OHDSI/EmpiricalCalibration/issues |
| License: | Apache License 2.0 |
| URL: | https://ohdsi.github.io/EmpiricalCalibration, https://github.com/OHDSI/EmpiricalCalibration |
| NeedsCompilation: | no |
| Citation: | EmpiricalCalibration citation info |
| Materials: | README NEWS |
| CRAN checks: | EmpiricalCalibration results |
| Reference manual: | EmpiricalCalibration.pdf |
| Vignettes: |
Empirical calibration of confidence intervals Empirical calibration of p-values |
| Package source: | EmpiricalCalibration_2.0.2.tar.gz |
| Windows binaries: | r-devel: EmpiricalCalibration_2.0.2.zip, r-release: EmpiricalCalibration_2.0.2.zip, r-oldrel: EmpiricalCalibration_2.0.2.zip |
| macOS binaries: | r-release: EmpiricalCalibration_2.0.2.tgz, r-oldrel: EmpiricalCalibration_2.0.2.tgz |
| Old sources: | EmpiricalCalibration archive |
Please use the canonical form https://CRAN.R-project.org/package=EmpiricalCalibration to link to this page.