2 papers
stat.ML2026
FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data
Marcel Hedman, Emily Alger, Brieuc Lehmann +2
Frameworks for ensuring fairness in machine learning typically focus on learning fair models from existing data. But this endeavor is often undermined by biases already present in…
stat.ME2023
The use of restricted mean survival time to estimate treatment effect under model misspecification, a simulation study
Emily Alger, David S. Robertson, Abigail J. Burdon
The use of the non-parametric Restricted Mean Survival Time endpoint (RMST) has grown in popularity as trialists look to analyse time-to-event outcomes without the restrictions of…