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

16 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME20192 cited

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…

stat.AP20197 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.ME20195 cited

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…

stat.ME201916 cited

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…

stat.ME20193 cited

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…