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>.

Version: 3.1.2
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: 2023-12-21
Author: Martijn Schuemie ORCID iD [aut, cre], Marc Suchard ORCID iD [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: yes
Citation: EmpiricalCalibration citation info
Materials: README NEWS
CRAN checks: EmpiricalCalibration results

Documentation:

Reference manual: EmpiricalCalibration.pdf
Vignettes: Empirical calibration of confidence intervals
Empirical calibration and MaxSPRT
Empirical calibration of p-values

Downloads:

Package source: EmpiricalCalibration_3.1.2.tar.gz
Windows binaries: r-devel: EmpiricalCalibration_3.1.2.zip, r-release: EmpiricalCalibration_3.1.2.zip, r-oldrel: EmpiricalCalibration_3.1.2.zip
macOS binaries: r-release (arm64): EmpiricalCalibration_3.1.2.tgz, r-oldrel (arm64): EmpiricalCalibration_3.1.2.tgz, r-release (x86_64): EmpiricalCalibration_3.1.2.tgz
Old sources: EmpiricalCalibration archive

Reverse dependencies:

Reverse imports: EvidenceSynthesis

Linking:

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