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Create target baseline aggregate covariate study settings

Usage

createTargetBaselineSettings(
  targetIds,
  limitToFirstInNDays = 99999,
  minPriorObservation = 0,
  covariateSettings = FeatureExtraction::createCovariateSettings(useDemographicsGender =
    TRUE, useDemographicsAge = TRUE, useDemographicsAgeGroup = TRUE, useDemographicsRace
    = TRUE, useDemographicsEthnicity = TRUE, useDemographicsIndexYear = TRUE,
    useDemographicsIndexMonth = TRUE, useDemographicsTimeInCohort = TRUE,
    useDemographicsPriorObservationTime = TRUE, useDemographicsPostObservationTime =
    TRUE, useConditionGroupEraLongTerm = TRUE, useDrugGroupEraOverlapping = TRUE,
    useDrugGroupEraLongTerm = TRUE, useProcedureOccurrenceLongTerm = TRUE, 
    
    useMeasurementLongTerm = TRUE, useObservationLongTerm = TRUE,
    useDeviceExposureLongTerm = TRUE, useVisitConceptCountLongTerm = TRUE,
    useConditionGroupEraShortTerm = TRUE, useDrugGroupEraShortTerm = TRUE,
    useProcedureOccurrenceShortTerm = TRUE, useMeasurementShortTerm = TRUE,
    useObservationShortTerm = TRUE, useDeviceExposureShortTerm = TRUE,
    useVisitConceptCountShortTerm = TRUE, useCharlsonIndex = TRUE, endDays = 0,
    longTermStartDays = -365, shortTermStartDays = -30)
)

Arguments

targetIds

A list of cohortIds for the target cohorts

limitToFirstInNDays

Whether to remove target cohort entries that occur within limitToFirstInNDays of a prior entry. limitToFirstInNDays = 99999 means limit to first entry.

minPriorObservation

The minimum time (in days) in the database a patient in the target cohorts must be observed prior to index

covariateSettings

An object created using FeatureExtraction::createCovariateSettings

Value

A list with the settings

Examples


aggregateSetting <- createTargetBaselineSettings(
  targetIds = c(1,2),
  limitToFirstInNDays = 99999,
  minPriorObservation = 365
)