16 citations · 36 across the 6 of their papers we have counts for
5 papers · 1 filter
Bayesian data fusion for unmeasured confounding
Leah Comment, Brent A. Coull, Corwin Zigler +1
Bayesian causal inference offers a principled approach to policy evaluation of proposed interventions on mediators or time-varying exposures. We outline a general approach to the e…
Bayesian Methods for Multiple Mediators: Relating Principal Stratification and Causal Mediation in the Analysis of Power Plant Emission Controls
Chanmin Kim, Michael Daniels, Joseph Hogan +2
Emission control technologies installed on power plants are a key feature of many air pollution regulations in the US. While such regulations are predicated on the presumed relatio…
Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks
Leah Comment, Fabrizia Mealli, Sebastien Haneuse +1
In semicompeting risks problems, nonterminal time-to-event outcomes such as time to hospital readmission are subject to truncation by death. These settings are often modeled with i…
Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Pollutant Emissions
Chanmin Kim, Corwin M Zigler, Michael J Daniels +2
Pollutant emissions from coal-burning power plants have been deemed to adversely impact ambient air quality and public health conditions. Despite the noticeable reduction in emissi…
Posterior Predictive Treatment Assignment for Estimating Causal Effects with Limited Overlap
Corwin M Zigler, Matthew Cefalu
Estimating causal effects with propensity scores relies upon the availability of treated and untreated units observed at each value of the estimated propensity score. In settings w…