2 papers
stat.ME2026
A Latent Factor Panel Approach to Spatiotemporal Causal Inference
Jiaxi Wu, Alexander Franks
Unmeasured confounding can severely bias causal effect estimates from spatiotemporal observational data, especially when the confounders do not vary smoothly in time and space. In…
stat.ME2025
Partial identification and unmeasured confounding with multiple treatments and multiple outcomes
Suyeon Kang, Alexander Franks, Michelle Audirac +2
Estimating the health effects of multiple air pollutants is a crucial problem in public health, but one that is difficult due to unmeasured confounding bias. Motivated by this issu…