checkEventExposureIndependenceAssumption: Check diagnostic for event-dependent exposure

In SelfControlledCaseSeries: Self-Controlled Case Series

Check diagnostic for event-dependent exposure

Description

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.

SelfControlledCaseSeries documentation built on Aug. 8, 2025, 7:34 p.m.