2024
DOI: 10.1002/sim.10022
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Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model

Joseph Boyle,
Mary H. Ward,
James R. Cerhan
et al.

Abstract: Mixture analysis is an emerging statistical tool in epidemiological research that seeks to estimate the health effects associated with mixtures of several exposures. This approach acknowledges that individuals experience many simultaneous exposures and it can estimate the relative importance of components in the mixture. Health effects due to mixtures may vary over space driven by to political, demographic, environmental, or other differences. In such cases, estimating a global mixture effect without accountin… Show more

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