Publications
Biostatistics and biomedical data science in practice.
Selected publications spanning causal inference, precision medicine, clinical AI, biomedical informatics, microbiome, and multi-omics. For the complete and most current record, visit Google Scholar.
Statistics in Medicine
Confidence Interval Construction for Causally Generalized Estimates with Target Sample Summary Information
npj Digital Medicine
Mixture-of-Multimodal-Agents (MoMA) Architecture for Enhancing Clinical Prediction Modeling
Genome Biology
Fast and Reliable Association Discovery in Large-Scale Microbiome Studies and Meta-Analyses Using PALM
Journal of Biomedical Informatics
Explainable Multimodal Deep Learning for Variable-Length Clinical Sequences
Genome Biology
Melody: Meta-analysis of Microbiome Association Studies for Discovering Generalizable Microbial Signatures
npj Digital Medicine
Evaluating Clinical AI-Generated Summaries with Large Language Model Judges
Journal of the American Statistical Association
Independence Weights for Causal Inference with Continuous Treatments
Biometrika
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Journal of the American Statistical Association
Minimum Resource Threshold Policy Under Partial Interference
Journal of the American Medical Informatics Association
Fair Two-Year Stroke Risk Prediction in the All of Us Research Program
Journal of the American Medical Informatics Association
Automated Trauma Severity Assessment Using Multimodal Machine Learning
Journal of the American Medical Informatics Association
Crowd-Sourced Development of an Electronic Health Record Mortality Prediction Model
Statistical Science
Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review
Annals of Applied Statistics
A Reluctant Additive Model Framework
Journal of Biomedical Informatics
A Hybrid System for Generating Clinical Assessments and Plans
Cancer Prevention Research
Hypothesized Versus Observed Effect Sizes in Cancer Prevention Research
Machine Learning for Health
Meta-Analysis of Individualized Treatment Rules Using Sign-Coherency
Journal of Clinical Oncology
Patient-Specific Covariates in Oncology Research: A Review
Journal of the American Statistical Association
A Two-Part Framework for Individualized Treatment Rules
JAMA Network Open
The COVID-19 Prediction DREAM Challenge
Biostatistics
Zero-Inflated Generalized Dirichlet Multinomial Regression for Microbiome Compositional Data
Journal of the American Medical Informatics Association
Temporal Calibration of an Electronic Health Record Predictive Model for Acute Kidney Injury
Journal of the American Statistical Association
Personalized Dose Finding Using Outcome Weighted Learning
Bioinformatics
PERMANOVA-S: Association Test for Microbial Community Composition that Accommodates Confounders and Multiple Distances
Proceedings of the National Academy of Sciences