1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025★ 1 cited
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
Saskia Comess, Daniel E Ho, Joshua L Warren
Place-based epidemiology studies often rely on circular buffers to define ``exposure'' to spatially distributed risk factors, where the buffer radius represents a threshold beyond…
stat.ME2022
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth
Saskia Comess, Howard H. Chang, Joshua L. Warren
Studies of the relationships between environmental exposures and adverse health outcomes often rely on a two-stage statistical modeling approach, where exposure is modeled/predicte…
stat.AP2021
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic
Saskia Comess, Hannah Wang, Susan Holmes +1
Pooled testing offers an efficient solution to the unprecedented testing demands of the COVID-19 pandemic, although with potentially lower sensitivity and increased costs to implem…