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CohortContrast  

Enrichment Analysis of Clinically Relevant Concepts in Common Data Model Cohort Data
View on CRAN: Click here


Download and install CohortContrast package within the R console
Install from CRAN:
install.packages("CohortContrast")

Install from Github:
library("remotes")
install_github("cran/CohortContrast")

Install by package version:
library("remotes")
install_version("CohortContrast", "1.0.0")



Attach the package and use:
library("CohortContrast")
Maintained by
Markus Haug
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-16
Latest Update: 2026-04-16
Description:
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/>.
How to cite:
Markus Haug (2026). CohortContrast: Enrichment Analysis of Clinically Relevant Concepts in Common Data Model Cohort Data. R package version 1.0.0, https://cran.r-project.org/web/packages/CohortContrast. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for CohortContrast
Functions, R codes and Examples using the CohortContrast R package
Full CohortContrast package functions and examples
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