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>.
Version: | 3.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2 (≥ 2.0.0), gridExtra, methods, rlang, Rcpp |
LinkingTo: | Rcpp |
Suggests: | knitr, markdown, rmarkdown, testthat, Cyclops, survival, Sequential |
Published: | 2022-08-09 |
Author: | Martijn Schuemie |
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: | yes |
Citation: | EmpiricalCalibration citation info |
Materials: | README NEWS |
CRAN checks: | EmpiricalCalibration results |
Reference manual: | EmpiricalCalibration.pdf |
Vignettes: |
Empirical calibration of confidence intervals Empirical calibration and MaxSPRT Empirical calibration of p-values |
Package source: | EmpiricalCalibration_3.1.1.tar.gz |
Windows binaries: | r-devel: EmpiricalCalibration_3.1.1.zip, r-release: EmpiricalCalibration_3.1.1.zip, r-oldrel: EmpiricalCalibration_3.1.1.zip |
macOS binaries: | r-release (arm64): EmpiricalCalibration_3.1.1.tgz, r-oldrel (arm64): EmpiricalCalibration_3.1.1.tgz, r-release (x86_64): EmpiricalCalibration_3.1.1.tgz, r-oldrel (x86_64): EmpiricalCalibration_3.1.1.tgz |
Old sources: | EmpiricalCalibration archive |
Reverse imports: | EvidenceSynthesis |
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