Enrichment Analysis of Clinically Relevant Concepts in Common Data Model Cohort Data R package CohortContrast version 1.0.0 Identifies clinically relevant concepts in Observational Medical Outcomes Partnership Common Data Model cohorts using an enrichment-based workflow. Defines target and control cohorts and extracts medical interventions that are over-represented in the target cohort during the observation period. Users can tune filtering and selection thresholds. The workflow includes chi-squared tests for two proportions with Yates continuity correction, logistic tests, and hierarchy and correlation mappings for relevant concepts. The results can be optionally explored using the bundled graphical user interface. For workflow details and examples, see <https://healthinformaticsut.github.io/CohortContrast/>. Software Imports: dplyr (>= 1.0.4), tibble, purrr, tidyr (>= 1.0.0), stringr, stats, utils, CDMConnector (>= 2.0.0), CohortConstructor (>= 0.6.0), omopgenerics (>= 1.3.0), lubridate (>= 1.9.0), doParallel, parallel, foreach, data.table (>= 1.14.0), cli, jsonlite (>= 1.8.0), nanoparquet (>= 0.4.0) Suggests: testthat (>= 3.0.0), PatientProfiles (>= 1.1.0), duckdb, DBI (>= 1.2.0), RPostgres, readr, knitr, rmarkdown, processx, bit64, reshape2, igraph, Matrix, cluster, vegan, reticulate (>= 1.26) Markus Haug <markus.haug@ut.ee> Comprehensive R Archive Network (CRAN) Markus Haug [aut, cre] (ORCID: <https://orcid.org/0000-0003-0935-3307>), Raivo Kolde [aut] (ORCID: <https://orcid.org/0000-0003-2886-6298>) Apache License 2.0 2026-04-16 application/tgz https://CRAN.R-project.org/package=CohortContrast doi:10.32614/CRAN.package.CohortContrast