Implement Descriptive Studies Using the Common Data Model


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Documentation for package ‘Characterization’ version 2.1.3

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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
computeDechallengeRechallengeAnalyses Compute dechallenge rechallenge study
computeRechallengeFailCaseSeriesAnalyses Compute fine the subjects that fail the dechallenge rechallenge study
computeTimeToEventAnalyses Compute time to event study
createAggregateCovariateSettings Create aggregate covariate study settings
createCharacterizationSettings Create the settings for a large scale characterization study
createCharacterizationTables Create the results tables to store characterization results into a database
createDechallengeRechallengeSettings Create dechallenge rechallenge study settings
createDuringCovariateSettings Create during covariate settings
createSqliteDatabase Create an sqlite database connection
createTimeToEventSettings Create time to event study settings
exampleOmopConnectionDetails create a connection detail for an example GI Bleed dataset from Eunomia
getDbDuringCovariateData Extracts covariates that occur during a cohort
insertResultsToDatabase Upload the results into a result database
loadCharacterizationSettings Load the characterization settings previously saved as a json file
runCharacterizationAnalyses execute a large-scale characterization study
saveCharacterizationSettings Save the characterization settings as a json
viewCharacterization viewCharacterization - Interactively view the characterization results