1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multi-Objective Composite Longitudinal Biomarker Scores for Improved Cancer Risk Assessment
Bitan Sarkar, Ana Maria Kenney, James P. Long +4
Repeated blood-based biomarker measurements can improve cancer risk assessment by capturing longitudinal changes missed by single-time-point analyses. Parametric Empirical Bayes (P…
Bias in Meta-Analytic Modeling of Surrogate Endpoints in Cancer Screening Trials
James P. Long, Abhishikta Roy, Ehsan Irajizad +2
In meta-analytic modeling, the functional relationship between a primary and surrogate endpoint is estimated using summary data from a set of completed clinical trials. Parameters…
Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge
Chunhui Gu, Mohammad Sadegh Nasr, James P. Long +2
Graph Neural Networks (GNNs) often struggle with noisy edges. We propose Latent Space Constrained Graph Neural Networks (LSC-GNN) to incorporate external "clean" links and guide em…
Estimating Causal Effects with Hidden Confounding using Instrumental Variables and Environments
James P. Long, Hongxu Zhu, Kim-Anh Do +1
Recent works have proposed regression models which are invariant across data collection environments. These estimators often have a causal interpretation under conditions on the en…