3 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
Abi I. Riley, Marta Blangiardo, Frédéric B. Piel +5
Airborne particulate matter (PM2.5) is a major public health concern in urban environments, where population density and emission sources exacerbate exposure risks. We present a no…
A Bayesian Spatial Berkson error approach to estimate small area opioid mortality rates accounting for population-at-risk uncertainty
Emily N Peterson, Rachel C. Nethery, Jarvis T. Chen +4
Monitoring small-area geographical population trends in opioid mortality has large scale implications to informing preventative resource allocation. A common approach to obtain sma…
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data
Emily N Peterson, Rachel C Nethery, Tullia Padellini +6
Small area estimates of population are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area estimates…