2021
DOI: 10.1002/sim.8996
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Bayesian semiparametric mixed effects models for meta‐analysis of the literature data : An application to cadmium toxicity studies

Abstract: We propose Bayesian semiparametric mixed effects models with measurement error to analyze the literature data collected from multiple studies in a meta‐analytic framework. We explore this methodology for risk assessment in cadmium toxicity studies, where the primary objective is to investigate dose‐response relationships between urinary cadmium concentrations and β2‐microglobulin. In the proposed model, a nonlinear association between exposure and response is described by a Gaussian process with shape restrict… Show more

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References 42 publications
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