3 citations · 10 across the 10 of their papers we have counts for
5 papers · 1 filter
Pseudo-value Based Mean Cumulative Count Regression
Zachary R. McCaw, Alex Ocampo, Enrico Giudice +2
The mean cumulative function (MCF) summarizes how events accumulate over time for a recurrent or multi-component endpoint. The MCF, and its integral over a given time horizon, the…
Reliable fairness auditing with semi-supervised inference
Jianhui Gao, Jessica Gronsbell
Machine learning (ML) models often exhibit bias that can exacerbate inequities in biomedical applications. Fairness auditing, the process of evaluating a model's performance across…
Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events
Jessica Gronsbell, Zachary R. McCaw, Isabelle-Emmanuella Nogues +4
As standards of care advance, patients are living longer and once-fatal diseases are becoming manageable. Clinical trials increasingly focus on reducing disease burden, which can b…
Exact Inference for Random Effects Meta-Analyses with Small, Sparse Data
Jessica Gronsbell, Zachary R McCaw, Timothy Regis +1
Meta-analysis aggregates information across related studies to provide more reliable statistical inference and has been a vital tool for assessing the safety and efficacy of many h…
Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance
Jessica Gronsbell, Tianxi Cai
In many modern machine learning applications, the outcome is expensive or time-consuming to collect while the predictor information is easy to obtain. Semi-supervised learning (SSL…