8 papers
Towards more scientific meta-analyses
Lily H. Zhang, Menelaos Konstantinidis, Marie-Abèle Bind +1
Meta-analysis can be a critical part of the research process, often serving as the primary analysis on which the practitioners, policymakers, and individuals base their decisions.…
Estimating the Local Air Pollution Impacts of Maritime Traffic: A Principled Approach for Observational Data
Léo Zabrocki, Marion Leroutier, Marie-Abèle Bind
We propose a new approach to estimate the causal effects of maritime traffic when natural or policy experiments are not available. We apply this method to the case of Marseille, a…
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…
Causal Inference for Multiple Treatments using Fractional Factorial Designs
Nicole E. Pashley, Marie-Abele C. Bind
We consider the design and analysis of multi-factor experiments using fractional factorial and incomplete designs within the potential outcome framework. These designs are particul…
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…
Randomization-based Inference for Bernoulli-Trial Experiments and Implications for Observational Studies
Zach Branson, Marie-Abele Bind
We present a randomization-based inferential framework for experiments characterized by a strongly ignorable assignment mechanism where units have independent probabilities of rece…