Create a parameter object for the function createStudyPopulation

createCreateStudyPopulationArgs(
  firstExposureOnly = FALSE,
  restrictToCommonPeriod = FALSE,
  washoutPeriod = 0,
  removeDuplicateSubjects = FALSE,
  removeSubjectsWithPriorOutcome = TRUE,
  priorOutcomeLookback = 99999,
  minDaysAtRisk = 1,
  riskWindowStart = 0,
  addExposureDaysToStart = NULL,
  startAnchor = "cohort start",
  riskWindowEnd = 0,
  addExposureDaysToEnd = NULL,
  endAnchor = "cohort end",
  censorAtNewRiskWindow = FALSE
)

Arguments

firstExposureOnly

Should only the first exposure per subject be included? Notethat this is typically done in thecreateStudyPopulation function,

restrictToCommonPeriod

Restrict the analysis to the period when both exposures are observed?

washoutPeriod

The mininum required continuous observation time prior toindex date for a person to be included in the cohort.

removeDuplicateSubjects

Remove subjects that are in both the target and comparatorcohort? See details for allowed values.

removeSubjectsWithPriorOutcome

Remove subjects that have the outcome prior to the riskwindow start?

priorOutcomeLookback

How many days should we look back when identifying prioroutcomes?

minDaysAtRisk

The minimum required number of days at risk.

riskWindowStart

The start of the risk window (in days) relative to the startAnchor.

addExposureDaysToStart

DEPRECATED: Add the length of exposure the start of the risk window?Use startAnchor instead.

startAnchor

The anchor point for the start of the risk window. Can be "cohort start"or "cohort end".

riskWindowEnd

The end of the risk window (in days) relative to the endAnchor.

addExposureDaysToEnd

DEPRECATED: Add the length of exposure the risk window?Use endAnchor instead.

endAnchor

The anchor point for the end of the risk window. Can be "cohort start"or "cohort end".

censorAtNewRiskWindow

If a subject is in multiple cohorts, should time-at-risk be censoredwhen the new time-at-risk starts to prevent overlap?

Details

Create an object defining the parameter values.