Delayed Exposures and Pre‐Exposure Periods in Self‐Controlled Case Series Studies

A key assumption of the self-controlled case series (SCCS) method is that exposures should not depend on the event of interest. However, treatments such as vaccines may be deferred after an adverse health event. One suggestion to handle such delayed exposures is to include a pre-exposure window in the SCCS model. We study the impact of such adjustments and of exposure deferment on the SCCS relative incidence estimates. We obtain explicit results in a simplified setting, and investigate more realistic scenarios by simulation. We develop some practical recommendations for sensitivity analyses: when the delayed exposures remain within the observation period, no adjustment is needed. When exposures are delayed beyond the end of the observation period, an adjustment may be required. In some circumstances the SCCS model for event-dependent exposures should be used rather than the standard SCCS model. These options are illustrated with three practical examples.

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Publication Details

Journal
Statistics in Medicine
Published
2026-04-27
DOI
https://doi.org/10.1002/sim.70566
Primary Topic
Advanced Causal Inference Techniques
Type
article
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article

Delayed Exposures and Pre‐Exposure Periods in Self‐Controlled Case Series Studies

Heather Whitaker, Yonas Ghebremichael‐Weldeselassie, Paddy Farrington
Statistics in Medicine
Advanced Causal Inference Techniques
article

Delayed Exposures and Pre‐Exposure Periods in Self‐Controlled Case Series Studies

Heather Whitaker, Yonas Ghebremichael‐Weldeselassie, Paddy Farrington
article en

Abstract

A key assumption of the self-controlled case series (SCCS) method is that exposures should not depend on the event of interest. However, treatments such as vaccines may be deferred after an adverse health event. One suggestion to handle such delayed exposures is to include a pre-exposure window in the SCCS model. We study the impact of such adjustments and of exposure deferment on the SCCS relative incidence estimates. We obtain explicit results in a simplified setting, and investigate more realistic scenarios by simulation. We develop some practical recommendations for sensitivity analyses: when the delayed exposures remain within the observation period, no adjustment is needed. When exposures are delayed beyond the end of the observation period, an adjustment may be required. In some circumstances the SCCS model for event-dependent exposures should be used rather than the standard SCCS model. These options are illustrated with three practical examples.

Statistics in MedicineVol. 45(10-12)
National Security Agency (US), The Open University (GB), University of Warwick (GB)
Good health and well-being
Openalex Percentile: Top 6%
Advanced Causal Inference Techniques
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