SelfControlledCohort: Self-Controlled Cohort Population-Level Estimation

Estimates incidence rate ratios by comparing time exposed with time unexposed among an exposed cohort using self-controlled cohort methodology as described in Ryan et al. (2013) <doi:10.1002/pds.3457>. Functions used for empirical calibration of effect estimates, confidence intervals, and p-values are included to control for residual bias.

Version:	2.0.0
Depends:	DatabaseConnector (≥ 5.0.0), R (≥ 4.1.0)
Imports:	SqlRender (≥ 1.4.3), ParallelLogger, rateratio.test, checkmate, dplyr, EmpiricalCalibration, ResultModelManager, Andromeda, readr, rlang, cli, stats
Suggests:	withr, testthat, knitr, rmarkdown, Eunomia, duckdb, DiagrammeR, tidyr, R.utils, jsonlite, DT, ggplot2, shiny, shinycssloaders, plotly, reactable, shinyWidgets
Published:	2026-06-17
DOI:	10.32614/CRAN.package.SelfControlledCohort (may not be active yet)
Author:	Jamie Gilbert [cre, aut], Martijn Schuemie [aut], Patrick Ryan [aut], Observational Health Data Science and Informatics [cph]
Maintainer:	Jamie Gilbert <gilbert at ohdsi.org>
BugReports:	https://github.com/OHDSI/SelfControlledCohort/issues
License:	Apache License 2.0
URL:	https://github.com/OHDSI/SelfControlledCohort, https://ohdsi.github.io/SelfControlledCohort/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	SelfControlledCohort results

Documentation:

Reference manual:	SelfControlledCohort.html , SelfControlledCohort.pdf
Vignettes:	Study Diagnostics (source, R code) Using SelfControlledCohort (source, R code)

Downloads:

Package source:	SelfControlledCohort_2.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): SelfControlledCohort_2.0.0.tgz, r-oldrel (arm64): SelfControlledCohort_2.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): SelfControlledCohort_2.0.0.tgz

Linking:

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