Create SCCS era data — createSccsIntervalData • SelfControlledCaseSeries

Create SCCS era data

createSccsIntervalData(
  studyPopulation,
  sccsData,
  eraCovariateSettings,
  ageCovariateSettings = NULL,
  seasonalityCovariateSettings = NULL,
  calendarTimeCovariateSettings = NULL,
  minCasesForAgeSeason = NULL,
  minCasesForTimeCovariates = 10000,
  eventDependentObservation = FALSE
)

Arguments

studyPopulation: An object created using the createStudyPopulation() function.
sccsData: An object of type SccsData as created using the getDbSccsData function.
eraCovariateSettings: Either an object of type EraCovariateSettings as created using the createEraCovariateSettings() function, or a list of such objects.
ageCovariateSettings: An object of type ageCovariateSettings as created using the createAgeCovariateSettings() function.
seasonalityCovariateSettings: An object of type seasonalityCovariateSettings as created using the createSeasonalityCovariateSettings() function.
calendarTimeCovariateSettings: An object of type calendarTimeCovariateSettings as created using the createCalendarTimeCovariateSettings() function.
minCasesForAgeSeason: DEPRECATED: Use minCasesForTimeCovariates instead.
minCasesForTimeCovariates: Minimum number of cases to use to fit age, season and calendar time splines. If needed (and available), cases that are not exposed will be included.
eventDependentObservation: Should the extension proposed by Farrington et al. be used to adjust for event-dependent observation time?

Value

An object of type SccsIntervalData.

Details

This function creates covariates based on the data in the sccsData argument, according to the provided settings. It chops patient time into periods during which all covariates remain constant. The output details these periods, their durations, and a sparse representation of the covariate values.

References

Farrington, C. P., Anaya-Izquierdo, A., Whitaker, H. J., Hocine, M.N., Douglas, I., and Smeeth, L. (2011). Self-Controlled case series analysis with event-dependent observation periods. Journal of the American Statistical Association 106 (494), 417-426