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Characterization (version 3.0.0)

Implement Descriptive Studies Using the Common Data Model

Description

An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.

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Install

install.packages('Characterization')

Monthly Downloads

500

Version

3.0.0

License

Apache License 2.0

Issues

5

Pull Requests

0

Stars

3

Forks

5

Maintainer

Jenna Reps

Last Published

March 25th, 2026

Functions in Characterization (3.0.0)

createTargetBaselineSettings

Create target baseline aggregate covariate study settings
saveCharacterizationSettings

Save the characterization settings as a json
viewCharacterization

viewCharacterization - Interactively view the characterization results
cleanIncremental

Removes csv files from folders that have not been marked as completed and removes the record of the execution file
cleanNonIncremental

Removes csv files from the execution folder as there should be no csv files when running in non-incremental model
Characterization-package

Characterization: Implement Descriptive Studies Using the Common Data Model
computeDechallengeRechallengeAnalyses

Compute dechallenge rechallenge study
computeTimeToEventAnalyses

Compute time to event study
createCaseSeriesSettings

Create aggregate covariate study settings
computeRechallengeFailCaseSeriesAnalyses

Compute fine the subjects that fail the dechallenge rechallenge study
createCharacterizationSettings

Create the settings for a large scale characterization study
createRiskFactorSettings

Create risk factor study settings
loadCharacterizationSettings

Load the characterization settings previously saved as a json file
runCharacterizationAnalyses

execute a large-scale characterization study
createTimeToEventSettings

Create time to event study settings
createDuringCovariateSettings

Create during covariate settings
createCharacterizationTables

Create the results tables to store characterization results into a database
createSqliteDatabase

Create an sqlite database connection
createDechallengeRechallengeSettings

Create dechallenge rechallenge study settings
exampleOmopConnectionDetails

create a connection detail for an example GI Bleed dataset from Eunomia
insertResultsToDatabase

Upload the results into a result database
getDbDuringCovariateData

Extracts covariates that occur during a cohort