activity
20212025
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 · 5 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2025

Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements

Keith Barnatchez, Kevin P. Josey, Nima S. Hejazi +3

Measurement error is a common challenge for causal inference studies using electronic health record (EHR) data, where clinical outcomes and treatments are frequently mismeasured. R…

stat.ME2024

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health

Kevin L. Chen, Falco J. Bargagli-Stoffi, Raphael C. Kim +2

Pollution from coal-fired power plants has been linked to substantial health and mortality burdens in the US. In recent decades, federal regulatory policies have spurred efforts to…

stat.AP20232 cited

Severe flooding and cause-specific hospitalization in the United States

Sarika Aggarwal, Jie K. Hu, Jonathan A. Sullivan +2

Flooding is one of the most disruptive and costliest climate-related disasters and presents an escalating threat to population health due to climate change and urbanization pattern…

stat.ME20213 cited

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…