computeTimeStability: Check stability of outcome rate over time
In SelfControlledCaseSeries: Self-Controlled Case Series

computeTimeStability

R Documentation

Check stability of outcome rate over time

Description

Check stability of outcome rate over time

Usage

computeTimeStability(
  studyPopulation,
  sccsModel = NULL,
  maxRatio = 1.1,
  alpha = 0.05
)

Arguments

`studyPopulation`	An object created using the `createStudyPopulation()` function.
`sccsModel`	Optional: A fitted SCCS model as created using `fitSccsModel()`. If the model contains splines for seasonality and or calendar time these will be adjusted for before computing stability.
`maxRatio`	The maximum global ratio between the observed and expected count.
`alpha`	The alpha (type 1 error) used to test for stability.

Details

DEPRECATED. Use checkTimeStabilityAssumption() instead.

Value

A tibble with one row and three columns: ratio indicates the estimated mean ratio between observed and expected. p is the p-value against the null-hypothesis that the ratio is smaller than maxRatio, and pass is TRUE if p is greater than alpha.