createSccsSimulationSettings: Create SCCS simulation settings
In SelfControlledCaseSeries: Self-Controlled Case Series

createSccsSimulationSettings

R Documentation

Create SCCS simulation settings

Description

Create SCCS simulation settings

Usage

createSccsSimulationSettings(
  meanPatientTime = 4 * 365,
  sdPatientTime = 2 * 365,
  minAge = 18 * 365,
  maxAge = 65 * 365,
  minBaselineRate = 0.001,
  maxBaselineRate = 0.01,
  minCalendarTime = as.Date("2000-01-01"),
  maxCalendarTime = as.Date("2010-01-01"),
  eraIds = c(1, 2),
  patientUsages = c(0.2, 0.1),
  usageRate = c(0.01, 0.01),
  usageRateSlope = c(0, 0),
  meanPrescriptionDurations = c(14, 30),
  sdPrescriptionDurations = c(7, 14),
  simulationRiskWindows = list(createSimulationRiskWindow(relativeRisks = 1),
    createSimulationRiskWindow(relativeRisks = 1.5)),
  includeAgeEffect = TRUE,
  ageKnots = 5,
  includeSeasonality = TRUE,
  seasonKnots = 5,
  includeCalendarTimeEffect = TRUE,
  calendarTimeKnots = 5,
  calendarTimeMonotonic = FALSE,
  outcomeId = 10
)

Arguments

`meanPatientTime`	Mean number of observation days per patient.
`sdPatientTime`	Standard deviation of the observation days per patient.
`minAge`	The minimum age in days.
`maxAge`	The maximum age in days.
`minBaselineRate`	The minimum baseline rate (per day).
`maxBaselineRate`	The maximum baseline rate (per day).
`minCalendarTime`	The minimum date patients are to be observed.
`maxCalendarTime`	The maximum date patients are to be observed.
`eraIds`	The IDs for the covariates to be generated.
`patientUsages`	The fraction of patients that use the drugs.
`usageRate`	The rate of prescriptions per person that uses the drug.
`usageRateSlope`	The change in the usage rate from one day to the next. `usageRate` is the intercept at day 0
`meanPrescriptionDurations`	The mean duration of a prescription, per drug.
`sdPrescriptionDurations`	The standard deviation of the duration of a prescription, per drug.
`simulationRiskWindows`	One or a list of objects of type `SimulationRiskWindow` as created using the `createSimulationRiskWindow()` function. function.
`includeAgeEffect`	Include an age effect for the outcome?
`ageKnots`	Number of knots in the age spline.
`includeSeasonality`	Include seasonality for the outcome?
`seasonKnots`	Number of knots in the seasonality spline.
`includeCalendarTimeEffect`	Include a calendar time effect for the outcome?
`calendarTimeKnots`	Number of knots in the calendar time spline.
`calendarTimeMonotonic`	Should the calender time effect be monotonic?
`outcomeId`	The ID to be used for the outcome.