62 citations · 62 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Aggregate Bayesian Causal Forests: The ABCs of Flexible Causal Inference for Hierarchically Structured Data
Dan R. C. Thal, Lauren V. Forrow, Erin R. Lipman +2
This paper introduces aggregate Bayesian Causal Forests (aBCF), a new Bayesian model for causal inference using aggregated data. Aggregated data are common in policy evaluations wh…
stat.ME2014★ 62 cited
Bayesian Estimation of Population-Level Trends in Measures of Health Status
Mariel M. Finucane, Christopher J. Paciorek, Goodarz Danaei +1
Improving health worldwide will require rigorous quantification of population-level trends in health status. However, global-level surveys are not available, forcing researchers to…