3 papers
stat.ME2026
Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding
Ting-Hsuan Chang, Caleb H. Miles, Ilya Shpitser +2
Causal graphs may inform covariate adjustment for estimating causal effects and improve estimation efficiency by exploiting the graphical structure. In many applications, however,…
stat.ME2023
Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity
Carly Lupton Brantner, Ting-Hsuan Chang, Trang Quynh Nguyen +3
Estimating treatment effects conditional on observed covariates can improve the ability to tailor treatments to particular individuals. Doing so effectively requires dealing with p…
stat.AP2021
Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic
Elena Badillo-Goicoechea, Ting-Hsuan Chang, Esther Kim +10
Background: Guidelines and recommendations from public health authorities related to face masks have been essential in containing the COVID-19 pandemic. We assessed the prevalence…