getCharacterizationCohortContinuous: A function to extract cohort aggregate continuous feature characterization results

Description

A function to extract cohort aggregate continuous feature characterization results

Usage

getCharacterizationCohortContinuous(
  connectionHandler,
  schema,
  cTablePrefix = "c_",
  cgTablePrefix = "cg_",
  databaseTable = "database_meta_data",
  targetIds = NULL,
  databaseIds = NULL,
  minThreshold = 0
)

Value

A data.frame with the characterization aggregate continuous features for a specific cohort and database

Arguments

connectionHandler: A connection handler that connects to the database and extracts sql queries. Create a connection handler via `ResultModelManager::ConnectionHandler$new()`.
schema: The result database schema (e.g., 'main' for sqlite)
cTablePrefix: The prefix used for the characterization results tables
cgTablePrefix: The prefix used for the cohort generator results tables
databaseTable: The name of the table with the database details (default 'database_meta_data')
targetIds: A vector of integers corresponding to the target cohort IDs
databaseIds: (optional) One or more unique identifiers for the databases
minThreshold: The minimum fraction of the cohort that must have the feature for it to be reported

Details

Specify the connectionHandler, the schema and the target cohort ID and database id

Other Characterization: getBinaryCaseSeries(), getBinaryRiskFactors(), getCaseBinaryFeatures(), getCaseContinuousFeatures(), getCaseCounts(), getCaseTargetBinaryFeatures(), getCaseTargetCounts(), getCharacterizationCohortBinary(), getCharacterizationDemographics(), getCharacterizationOutcomes(), getCharacterizationTargets(), getContinuousCaseSeries(), getContinuousRiskFactors(), getDechallengeRechallenge(), getDechallengeRechallengeFails(), getIncidenceOutcomes(), getIncidenceRates(), getIncidenceTargets(), getTargetBinaryFeatures(), getTargetContinuousFeatures(), getTimeToEvent(), plotAgeDistributions(), plotSexDistributions()

Examples

Run this code

conDet <- getExampleConnectionDetails()

connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)

conCohort <- getCharacterizationCohortContinuous(
  connectionHandler = connectionHandler, 
  schema = 'main',
  targetIds = 1, 
  databaseIds = 'eunomia'
)