Scholar
Matthew M. Engelhard
Google Scholar ID: 0gpvxyoAAAAJ
Assistant Professor of Biostatistics & Bioinformatics, Duke University
machine learning
healthcare
mental health
digital health
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Citations & Impact
All-time
Citations
1,005
H-index
18
i10-index
28
Publications
20
Co-authors
21
list available
Publications
10 items
When are time-to-event models a waste of time? Bridging mixture cure models and positive-unlabeled learning for binary classification under right-censoring
2026
Cited
0
EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation
2026
Cited
0
Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data
2026
Cited
0
Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
2026
Cited
0
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
2026
Cited
0
Double Variable Importance Matching to Estimate Distinct Causal Effects on Event Probability and Timing
2026
Cited
0
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
2025
Cited
0
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
2025
Cited
0
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Co-authors
4 total
Ricardo Henao
Duke University
Michael J. Pencina, PhD
Duke University, School of Medicine
Jiaqi Gong
Associate Professor at the University of Alabama
Shanshan Chen
Associate Professor @ Virginia Commonwealth University
