Erin E. Gabriel

A Deep CNN Approach For Predicting Cumulative Incidence Based On Pseudo-Observations

2021 · Research Square

Abstract Background: Prognostic models are of high relevance in many medical application domains. However, many common machine learning methods have not been developed for direct applicability to right-censored outcome data. Recently there have been adaptations …

Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface

2022 · arXiv (Cornell University)

Strong untestable assumptions are almost universal in causal point estimation. In particular settings, bounds can be derived to narrow the possible range of a causal effect. Symbolic bounds apply to all settings that can be …