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20162025
most citedA Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data

3 citations · 4 across the 3 of their papers we have counts for

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2 papers · 1 filter

stat.AP2025

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity

Emily N Peterson, Alex Edwards, Martha Wetzel +3

County-level estimates of opioid use disorder (OUD) are essential for understanding the influence of local economic and social conditions. They provide policymakers with the granul…

stat.AP2016★ 1 cited

Data Integration Model for Air Quality: A Hierarchical Approach to the Global Estimation of Exposures to Ambient Air Pollution

Gavin Shaddick, Matthew L. Thomas, Amelia Jobling +14

Air pollution is a major risk factor for global health, with both ambient and household air pollution contributing substantial components of the overall global disease burden. One…