4 papers
Conceptualizing experimental controls using the potential outcomes framework
Kristen B. Hunter, Kristen Koenig, Marie-Abèle Bind
The goal of a well-controlled study is to remove unwanted variation when estimating the causal effect of the intervention of interest. Experiments conducted in the basic sciences f…
Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores
Keith W. Zirkle, Marie-Abele Bind, Jenise L. Swall +1
Environmental epidemiologists are increasingly interested in establishing causality between exposures and health outcomes. A popular model for causal inference is the Rubin Causal…
Bayesian causal inference for count potential outcomes
Young Lee, Wicher P. Bergsma, Marie-Abele C. Bind
The literature for count modeling provides useful tools to conduct causal inference when outcomes take non-negative integer values. Applied to the potential outcomes framework, we…
The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: A Density Regression Mediation Approach
Katrina L. Devick, Linda Valeri, Jarvis Chen +3
The study of racial/ethnic inequalities in health is important to reduce the uneven burden of disease. In the case of colorectal cancer (CRC), disparities in survival among non-His…