62 citations · 80 across the 5 of their papers we have counts for
5 papers
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…
Estimating Causal Impacts of Scaling a Voluntary Policy Intervention
Irina Degtiar, Mariel Finucane
Evaluations often inform future program implementation decisions. However, the implementation context may differ, sometimes substantially, from the evaluation study context. This d…
Absolute and Relative Bias in Eight Common Observational Study Designs: Evidence from a Meta-analysis
Jelena Zurovac, Thomas D. Cook, John Deke +5
Observational studies are needed when experiments are not possible. Within study comparisons (WSC) compare observational and experimental estimates that test the same hypothesis us…
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…
Semiparametric Bayesian Density Estimation with Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition
Mariel M. Finucane, Christopher J. Paciorek, Gretchen A. Stevens +1
Undernutrition, resulting in restricted growth, and quantified here using height-for-age z-scores, is an important contributor to childhood morbidity and mortality. Since all level…