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A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships by Alexis E. Zavez; Emeir M. McSorley; Alison J. Yeates; Sally W. Thurston is a Environmental Science article available to read on EtoBox.

What is A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships about?

We present a Bayesian partial membership model that estimates the associations between an outcome, a small number of latent variables, and multiple observed exposures where the number of latent variables is specified a priori. We assign one observed exposure as the sentinel marker for each latent variable. The model allows non-sentinel exposures to have complete membership in one latent group, or partial membership across two or more latent groups. MCMC sampling is used to determine latent group partial memberships for the non-sentinel exposures, and estimate all model parameters. We compare the performance of our model to competing approaches in a simulation study and apply our model to inflammatory marker data measured in a large motherchild cohort of the Seychelles Child Development Study (SCDS). In simulations, our model estimated model parameters with little bias, adequate coverage, and tighter credible intervals compared to competing approaches. Under our partial membership model with two latent groups, SCDS inflammatory marker classifications generally aligned with the scientific literature. Incorporating additional SCDS inflammatory markers and more latent groups produced s

Who reads A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships?

Author

Alexis E. Zavez; Emeir M. McSorley; Alison J. Yeates; Sally W. Thurston

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)