Each week, we select a recently published Open Access article to feature. This week’s article comes from Statistics in Medicine and proposes a modified self-controlled case series (SCCS) method which handles event-dependent exposures and high event-related mortality.
The article’s abstract is given below, with the full article available to read here.
A modified self-controlled case series method for event-dependent exposures and high event-related mortality, with application to COVID-19 vaccine safety. Statistics in Medicine. 2022; 41( 10): 1735– 1750. doi:10.1002/sim.9325, , , et al.
We propose a modified self-controlled case series (SCCS) method to handle both event-dependent exposures and high event-related mortality. This development is motivated by an epidemiological study undertaken in France to quantify potential risks of cardiovascular events associated with COVID-19 vaccines. Event-dependence of vaccinations, and high event-related mortality, are likely to arise in other SCCS studies of COVID-19 vaccine safety. Using this case study and simulations to broaden its scope, we explore these features and the biases they may generate, implement the modified SCCS model, illustrate some of the properties of this model, and develop a new test for presence of a dose effect. The model we propose has wider application, notably when the event of interest is death.