3 papers
stat.ME2021
Causal Effects with Hidden Treatment Diffusion on Observed or Partially Observed Networks
Costanza Tortú, Irene Crimaldi, Fabrizia Mealli +1
In randomized experiments, interactions between units might generate a treatment diffusion process. This is common when the treatment of interest is an actual object or product tha…
stat.ME2018
Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores
Laura Forastiere, Fabrizia Mealli, Albert Wu +1
In most real-world systems units are interconnected and can be represented as networks consisting of nodes and edges. For instance, in social systems individuals can have social ti…
stat.ME2016
More Powerful Multiple Testing in Randomized Experiments with Non-Compliance
Joseph J. Lee, Laura Forastiere, Luke Miratrix +1
Two common concerns raised in analyses of randomized experiments are (i) appropriately handling issues of non-compliance, and (ii) appropriately adjusting for multiple tests (e.g.,…