Check diagnostic for event-dependent exposure

This diagnostic tests whether there is a dependency between the event and subsequent exposures. This requires you have indicated one of the era covariates to be a pre-exposure window. This function simply checks whether the confidence interval for the effect estimate of that pre- exposure window overlaps with the nullBounds.

To designate an era covariate to be the pre-exposure window, set preExposure = TRUE when calling createEraCovariateSettings(). Note that, by default, preExposure will be TRUE if start is smaller than 0.

Usage

checkEventExposureIndependenceAssumption(sccsModel, nullBounds = c(0.8, 1.25))

Arguments

sccsModel

A fitted SCCS model as created using fitSccsModel().

nullBounds

The bounds for the null hypothesis on the incidence rate ratio scale.

Value

A tibble with one row per pre-exposure window and four columns: ratio indicates the estimates incidence rate ratio for the pre-exposure window. lb and ub represent the upper and lower bounds of the 95 percent confidence interval, and pass is TRUE if the confidence interval intersects the null bounds.