activity
20202023
most citedEvaluating the Informativeness of the Besag-York-Mollié CAR Model

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

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…

stat.AP2023

Evaluating Racialized Economic Segregation in the Presence of Spatial Autocorrelation

Yang Xu, Loni Philip Tabb

Research on residential segregation has been active since the 1950s and originated in a desire to quantify the level of racial/ethnic segregation in the United States. The Index of…

stat.AP2023

A Two-stage Bayesian Model for Assessing the Geography of Racialized Economic Segregation and Premature Mortality Across US Counties

Yang Xu, Loni Philip Tabb

Racialized economic segregation, a key metric that simultaneously accounts for spatial, social and income polarization, has been linked to adverse health outcomes, including morbid…

stat.AP2021★ 1 cited

Geographic and Racial Disparities in the Incidence of Low Birthweight in Pennsylvania

Guangzi Song, Loni Philip Tabb, Harrison Quick

Babies born with low and very low birthweights -- i.e., birthweights below 2,500 and 1,500 grams, respectively -- have an increased risk of complications compared to other babies,…

stat.AP2020★ 14 cited

Evaluating the Informativeness of the Besag-York-Mollié CAR Model

Harrison Quick, Guangzi Song, Loni Tabb

The use of the conditional autoregressive framework proposed by Besag, York, and Mollié (1991; BYM) is ubiquitous in Bayesian disease mapping and spatial epidemiology. While it is…