Self-Controlled Cohort Population-Level Estimation R package SelfControlledCohort version 2.0.0 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. Software 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 Jamie Gilbert <gilbert@ohdsi.org> Comprehensive R Archive Network (CRAN) Jamie Gilbert [cre, aut] (ORCID: <https://orcid.org/0000-0003-2294-3459>), Martijn Schuemie [aut], Patrick Ryan [aut], Observational Health Data Science and Informatics [cph] Apache License 2.0 2026-06-17 application/tgz https://CRAN.R-project.org/package=SelfControlledCohort doi:10.32614/CRAN.package.SelfControlledCohort en-US