31 citations · 36 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
stat.ME2020★ 1 cited
A review of spatial causal inference methods for environmental and epidemiological applications
Brian J Reich, Shu Yang, Yawen Guan +3
The scientific rigor and computational methods of causal inference have had great impacts on many disciplines, but have only recently begun to take hold in spatial applications. Sp…
stat.ME2020
Estimating spatially varying health effects of wildland fire smoke using mobile health data
Lili Wu, Chenyin Gao, Shu Yang +2
Wildland fire smoke exposures are an increasing threat to public health, and thus there is a growing need for studying the effects of protective behaviors on reducing health outcom…
stat.ME2020★ 1 cited
A spatial causal analysis of wildland fire-contributed PM2.5 using numerical model output
Alexandra Larsen, Shu Yang, Brian J. Reich +1
Wildland fire smoke contains hazardous levels of fine particulate matter PM2.5, a pollutant shown to adversely effect health. Estimating fire attributable PM2.5 concentrations is k…