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stat.ME2021
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…
stat.ME2020
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…