Create the settings for a large scale characterization study — createCharacterizationSettings • Characterization

This function creates a list of settings for different characterization studies

Usage

createCharacterizationSettings(
  timeToEventSettings = NULL,
  dechallengeRechallengeSettings = NULL,
  targetBaselineSettings = NULL,
  riskFactorSettings = NULL,
  caseSeriesSettings = NULL
)

Arguments

timeToEventSettings: A list of timeToEvent settings
dechallengeRechallengeSettings: A list of dechallengeRechallenge settings
targetBaselineSettings: A list of targetBaselineSettings settings
riskFactorSettings: A list of riskFactorSettings settings
caseSeriesSettings: A list of caseSeriesSettings settings

Value

Returns the connection to the sqlite database

Details

Specify one or more timeToEvent, dechallengeRechallenge and aggregateCovariate settings

See also

Other LargeScale: loadCharacterizationSettings(), runCharacterizationAnalyses(), saveCharacterizationSettings()

Examples

# example code

drSet <- createDechallengeRechallengeSettings(
  studyPopulationSettings = createStudyPopulationSettings(
    targetIds = c(1,2),
    limitToFirstInNDays = 0,
    minPriorObservation = 0
    ),
  outcomeIds = 3
)

cSet <- createCharacterizationSettings(
  dechallengeRechallengeSettings = drSet
)