A two-stage Bayesian downscaling model estimates county-level opioid use disorder risk from state-level survey counts, but its validation uses data generated by the model itself and shows large county-level errors.
, author Holan, S.H
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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity
A two-stage Bayesian downscaling model estimates county-level opioid use disorder risk from state-level survey counts, but its validation uses data generated by the model itself and shows large county-level errors.