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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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Showing 2019Show all

5 papers · 1 filter

stat.ME2019★ 2 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.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.ME2019★ 5 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.ME2019★ 16 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.ME2019★ 3 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…