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Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study
BACKGROUND: Studies of the effects of prenatal environmental exposures on postnatal outcomes are particularly vulnerable to live birth bias; i.e., the bias that arises from the necessary restriction of the analysis to live births when that is influenced by both the exposure under study [Formula: see...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043129/ https://www.ncbi.nlm.nih.gov/pubmed/33793300 http://dx.doi.org/10.1289/EHP7961 |
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author | Leung, Michael Kioumourtzoglou, Marianthi-Anna Raz, Raanan Weisskopf, Marc G. |
author_facet | Leung, Michael Kioumourtzoglou, Marianthi-Anna Raz, Raanan Weisskopf, Marc G. |
author_sort | Leung, Michael |
collection | PubMed |
description | BACKGROUND: Studies of the effects of prenatal environmental exposures on postnatal outcomes are particularly vulnerable to live birth bias; i.e., the bias that arises from the necessary restriction of the analysis to live births when that is influenced by both the exposure under study [Formula: see text] and unmeasured factors [Formula: see text] that also affect the outcome. OBJECTIVES: In the context of a recent publication of nitrogen dioxide ([Formula: see text]) and autism spectrum disorder (ASD) that found an odds ratio (OR) of 0.77 per [Formula: see text] [Formula: see text] during pregnancy, we aimed to examine what parameters would be needed to account for this protective association through live birth bias. METHODS: We simulated the magnitude of bias under two selection mechanisms and when both mechanisms co-occur, assuming a true null effect. Simulation input parameters were based on characteristics of the original study and a range of plausible values for the prevalence of unmeasured factor [Formula: see text] and the ORs for the selection effects (i.e., the effects of [Formula: see text] and [Formula: see text] on loss and of [Formula: see text] on ASD). Each scenario was simulated 1,000 times. RESULTS: We found that the magnitude of bias was small when [Formula: see text] and [Formula: see text] independently influenced pregnancy loss (collider-stratification without interaction), was stronger when [Formula: see text] loss preferentially occurred in [Formula: see text] (depletion of susceptibles), and was strongest when both mechanisms worked together. For example, ORs of 3.0 for [Formula: see text] , [Formula: see text]-loss, [Formula: see text]-ASD, and U [Formula: see text] yielded [Formula: see text] ORs per [Formula: see text] [Formula: see text] of 0.95, 0.89, and 0.75 for the three scenarios, respectively. The bias is amplified with multiple [Formula: see text] , yielding ORs as low as 0.51. DISCUSSION: Our simulations illustrate that live birth bias may lead to exposure–outcome associations that are biased downward, where the extent of the bias depends on the fetal selection mechanism, the strength of that selection, and the prevalence of U. https://doi.org/10.1289/EHP7961 |
format | Online Article Text |
id | pubmed-8043129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-80431292021-04-13 Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study Leung, Michael Kioumourtzoglou, Marianthi-Anna Raz, Raanan Weisskopf, Marc G. Environ Health Perspect Research BACKGROUND: Studies of the effects of prenatal environmental exposures on postnatal outcomes are particularly vulnerable to live birth bias; i.e., the bias that arises from the necessary restriction of the analysis to live births when that is influenced by both the exposure under study [Formula: see text] and unmeasured factors [Formula: see text] that also affect the outcome. OBJECTIVES: In the context of a recent publication of nitrogen dioxide ([Formula: see text]) and autism spectrum disorder (ASD) that found an odds ratio (OR) of 0.77 per [Formula: see text] [Formula: see text] during pregnancy, we aimed to examine what parameters would be needed to account for this protective association through live birth bias. METHODS: We simulated the magnitude of bias under two selection mechanisms and when both mechanisms co-occur, assuming a true null effect. Simulation input parameters were based on characteristics of the original study and a range of plausible values for the prevalence of unmeasured factor [Formula: see text] and the ORs for the selection effects (i.e., the effects of [Formula: see text] and [Formula: see text] on loss and of [Formula: see text] on ASD). Each scenario was simulated 1,000 times. RESULTS: We found that the magnitude of bias was small when [Formula: see text] and [Formula: see text] independently influenced pregnancy loss (collider-stratification without interaction), was stronger when [Formula: see text] loss preferentially occurred in [Formula: see text] (depletion of susceptibles), and was strongest when both mechanisms worked together. For example, ORs of 3.0 for [Formula: see text] , [Formula: see text]-loss, [Formula: see text]-ASD, and U [Formula: see text] yielded [Formula: see text] ORs per [Formula: see text] [Formula: see text] of 0.95, 0.89, and 0.75 for the three scenarios, respectively. The bias is amplified with multiple [Formula: see text] , yielding ORs as low as 0.51. DISCUSSION: Our simulations illustrate that live birth bias may lead to exposure–outcome associations that are biased downward, where the extent of the bias depends on the fetal selection mechanism, the strength of that selection, and the prevalence of U. https://doi.org/10.1289/EHP7961 Environmental Health Perspectives 2021-04-01 /pmc/articles/PMC8043129/ /pubmed/33793300 http://dx.doi.org/10.1289/EHP7961 Text en https://ehp.niehs.nih.gov/about-ehp/licenseEHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Leung, Michael Kioumourtzoglou, Marianthi-Anna Raz, Raanan Weisskopf, Marc G. Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study |
title | Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study |
title_full | Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study |
title_fullStr | Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study |
title_full_unstemmed | Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study |
title_short | Bias due to Selection on Live Births in Studies of Environmental Exposures during Pregnancy: A Simulation Study |
title_sort | bias due to selection on live births in studies of environmental exposures during pregnancy: a simulation study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043129/ https://www.ncbi.nlm.nih.gov/pubmed/33793300 http://dx.doi.org/10.1289/EHP7961 |
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