The exposure potential restriction rule revisited

There are people who cannot receive certain treatments or experience certain exposures. For example, people without a uterine cervix cannot receive an intrauterine device. This lack of exposure potential in some persons instigated an interesting discussion in the 1980s regarding whether such persons should be included in case-control studies. A recommendation to exclude them was named the exposure potential restriction rule. We consider this rule in the context of current modern epidemiology and causal inference including clearly defining which causal questions can be answered with which assumptions, how exposure potential relates to the positivity assumption, how the exposure potential restriction rule may amplify uncontrolled confounding when the reason for a lack of exposure potential is an instrumental variable and the complementary idea of exposure compulsion. Using a simple simulation, we demonstrate that both restricting and not restricting on a variable that defines lack of exposure may induce bias depending on the causal structure. Therefore, careful thought must be used when deciding whether to remove participants who have no potential to be exposed or no potential to be unexposed.

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Publication Details

Journal
American Journal of Epidemiology
Published
2025-09-12
DOI
https://doi.org/10.1093/aje/kwaf204
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The exposure potential restriction rule revisited

Jeremy A. Labrecque, Charles Poole, Andreas Stang
American Journal of Epidemiology
Advanced Causal Inference Techniques
article

The exposure potential restriction rule revisited

Jeremy A. Labrecque, Charles Poole, Andreas Stang
article en

Abstract

There are people who cannot receive certain treatments or experience certain exposures. For example, people without a uterine cervix cannot receive an intrauterine device. This lack of exposure potential in some persons instigated an interesting discussion in the 1980s regarding whether such persons should be included in case-control studies. A recommendation to exclude them was named the exposure potential restriction rule. We consider this rule in the context of current modern epidemiology and causal inference including clearly defining which causal questions can be answered with which assumptions, how exposure potential relates to the positivity assumption, how the exposure potential restriction rule may amplify uncontrolled confounding when the reason for a lack of exposure potential is an instrumental variable and the complementary idea of exposure compulsion. Using a simple simulation, we demonstrate that both restricting and not restricting on a variable that defines lack of exposure may induce bias depending on the causal structure. Therefore, careful thought must be used when deciding whether to remove participants who have no potential to be exposed or no potential to be unexposed.

American Journal of EpidemiologyVol. 194(12)
University of North Carolina at Chapel Hill (US), Erasmus MC (NL), Institut für Medizinische Informatik, Biometrie und Epidemiologie (DE), Essen University Hospital (DE), Erasmus University Rotterdam (NL)
ZonMw, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 76%
Advanced Causal Inference Techniques
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The exposure potential restriction rule revisited — Jeremy A. Labrecque, Charles Poole, et al. · American Journal of Epidemiology (2025) | TGRS Research Map | TGRS