Scholars@Duke
Matthew M. Engelhard

Matthew M. Engelhard

Assistant Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical
2424 Erwin Rd, Durham, NC 27705

Scholarly Works - Preprints

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

Preprint · July 6, 2026 Scalable Bayesian inference for generalized linear mixed models (GLMMs) provides uncertainty-aware analysis of correlated longitudinal data, but existing scalable approaches largely assume low-dimensional tabular predictors and do not directly accommodate ... Link to item Cite

Towards Fair Predictions: Group Conditional Concordance Index to Quantify Fairness in Time-to-Event Prognostication

Preprint · June 15, 2026 Fairness metrics are essential for rigorously defining, quantifying, and mitigating biases in predictive models. While most existing metrics focus on binary classification tasks, fairness in time-to-event analyses has received limited attention. To address ... Link to item Cite

Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment

Preprint · March 23, 2026 Unstructured Electronic Health Record (EHR) data, such as clinical notes, contain clinical contextual observations that are not directly reflected in structured data fields. This additional information can substantially improve model learning. However, due ... Link to item Cite

NEST: Nested Event Stream Transformer for Sequences of Multisets

Preprint · January 31, 2026 Event stream data often exhibit hierarchical structure in which multiple events co-occur, resulting in a sequence of multisets (i.e., bags of events). In electronic health records (EHRs), for example, medical events are grouped into a sequence of clinical ... Link to item Cite