The impact of coarsening an exposure on partial identifiability in instrumental variable settings

Fuente: arXiv
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Main Authors: Gabriel, Erin E., Sachs, Michael C., Sjölander, Arvid
Format: Preprint
Published: 2024
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author Gabriel, Erin E.
Sachs, Michael C.
Sjölander, Arvid
author_facet Gabriel, Erin E.
Sachs, Michael C.
Sjölander, Arvid
contents In instrumental variable (IV) settings, such as in imperfect randomized trials and observational studies with Mendelian randomization, one may encounter a continuous exposure, the causal effect of which is not of true interest. Instead, scientific interest may lie in a coarsened version of this exposure. Although there is a lengthy literature on the impact of coarsening of an exposure with several works focusing specifically on IV settings, all methods proposed in this literature require parametric assumptions. Instead, just as in the standard IV setting, one can consider partial identification via bounds making no parametric assumptions. This was first pointed out in Alexander Balke's PhD dissertation. We extend and clarify his work and derive novel bounds in several settings, including for a three-level IV, which will most likely be the case in Mendelian randomization. We demonstrate our findings in two real data examples, a randomized trial for peanut allergy in infants and a Mendelian randomization setting investigating the effect of homocysteine on cardiovascular disease.
format Preprint
id arxiv_https___arxiv_org_abs_2401_17735
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The impact of coarsening an exposure on partial identifiability in instrumental variable settings
Gabriel, Erin E.
Sachs, Michael C.
Sjölander, Arvid
Methodology
In instrumental variable (IV) settings, such as in imperfect randomized trials and observational studies with Mendelian randomization, one may encounter a continuous exposure, the causal effect of which is not of true interest. Instead, scientific interest may lie in a coarsened version of this exposure. Although there is a lengthy literature on the impact of coarsening of an exposure with several works focusing specifically on IV settings, all methods proposed in this literature require parametric assumptions. Instead, just as in the standard IV setting, one can consider partial identification via bounds making no parametric assumptions. This was first pointed out in Alexander Balke's PhD dissertation. We extend and clarify his work and derive novel bounds in several settings, including for a three-level IV, which will most likely be the case in Mendelian randomization. We demonstrate our findings in two real data examples, a randomized trial for peanut allergy in infants and a Mendelian randomization setting investigating the effect of homocysteine on cardiovascular disease.
title The impact of coarsening an exposure on partial identifiability in instrumental variable settings
topic Methodology
url https://arxiv.org/abs/2401.17735