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Bespoke instrumental variables with non-ideal reference populations

Recently, a bespoke instrumental variable method was proposed, which, under certain assumptions, can eliminate bias due to unmeasured confounding when estimating the causal exposure effect among the exposed. This method uses data from both the study population of interest, and a reference population...

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Bibliographic Details
Published in:American journal of epidemiology 2024-08
Main Authors: Sjölander, Arvid, Gabriel, Erin E
Format: Article
Language:English
Online Access:Get full text
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Summary:Recently, a bespoke instrumental variable method was proposed, which, under certain assumptions, can eliminate bias due to unmeasured confounding when estimating the causal exposure effect among the exposed. This method uses data from both the study population of interest, and a reference population in which the exposure is completely absent. In this paper, we extend the bespoke instrumental variable method to allow for a non-ideal reference population that may include exposed subjects. Such an extension is particularly important in randomized trials with nonadherence, where even subjects in the control arm may have access to the treatment under investigation. We further scrutinize the assumptions underlying the bespoke instrumental method, and caution the reader about the potential non-robustness of the method to these assumptions.
ISSN:0002-9262
1476-6256
1476-6256
DOI:10.1093/aje/kwae247