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20112025
most citedSurvivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks

16 citations · 57 across the 21 of their papers we have counts for

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6 papers · 1 filter

stat.AP2025

Time-Varying Confounding Bias in Observational Geoscience with Application to Induced Seismicity

Yuchen Xiao, Corwin Zigler, Peter H. Hennings +1

Evidence derived primarily from physical models has identified saltwater disposal as the dominant causal factor that contributes to induced seismicity. To complement physical model…

stat.AP2025

Bayesian Nonhomogeneous hidden Markov models to leverage routine in physical activity monitoring with informative wear time

Beatrice Cantoni, Savannah V. Rauschendorfer, Michael E. Roth +3

Missing data is among the most prominent challenges in the analysis of physical activity (PA) data collected from wearable devices, with the threat of nonignorabile missingness ari…

stat.AP2023

Causal health impacts of power plant emission controls under modeled and uncertain physical process interference

Nathan B. Wikle, Corwin M. Zigler

Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and…

stat.AP2019★ 7 cited

A Source-Oriented Approach to Coal Power Plant Emissions Health Effects

Kevin Cummiskey, Chanmin Kim, Christine Choirat +3

There is increasing focus on whether air pollution originating from different sources has different health implications. In particular, recent evidence suggests that fine particula…

stat.AP2018★ 2 cited

Evaluating Federal Policies Using Bayesian Time Series Models: Estimating the Causal Impact of the Hospital Readmissions Reduction Program

Georgia Papadogeorgou, Fiammetta Menchetti, Christine Choirat +3

Researchers are often faced with evaluating the effect of a policy or program that was simultaneously initiated across an entire population of units at a single point in time, and…

stat.AP2011★ 11 cited

The potential for bias in principal causal effect estimation when treatment received depends on a key covariate

Corwin M. Zigler, Thomas R. Belin

Motivated by a potential-outcomes perspective, the idea of principal stratification has been widely recognized for its relevance in settings susceptible to posttreatment selection…