no code implementations • 19 Dec 2022 • Ashesh Rambachan, Amanda Coston, Edward Kennedy
We propose a unified methodology for the robust design and evaluation of predictive algorithms in selectively observed data under such unobserved confounding.
no code implementations • 1 Sep 2021 • Alan Mishler, Edward Kennedy
Our framework can simultaneously target multiple observable or counterfactual fairness criteria, and it enables users to combine a large number of previously trained and newly trained predictors.
no code implementations • 11 Jan 2021 • Yan Liu, Mireille Schnitzer, Guanbo Wang, Edward Kennedy, Piret Viiklepp, Mario H. Vargas, Giovanni Sotgiu, Dick Menzies, Andrea Benedetti
We propose a marginal structural model (MSM) for effect modification by different patient characteristics and co-medications in a meta-analysis of observational IPD.
Methodology