5 papers
Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
Subharup Guha, Mengqi Xu, Yi Li
Lung sepsis remains a significant concern in the Northeastern U.S., yet the national eICU Collaborative Database includes only a small number of patients from this region, highligh…
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
Zhe Fei, Yi Li
Epigenetic aging clocks play a pivotal role in estimating an individual's biological age through the examination of DNA methylation patterns at numerous CpG (Cytosine-phosphate-Gua…
A New Class of Mark-Specific Proportional Hazards Models for Recurrent Events: Application to Opioid Refills Among Post-Surgical Patients
Eileen Yang, Donglin Zeng, Mark Bicket +1
Prescription opioids relieve moderate-to-severe pain after surgery, but overprescription can lead to misuse and overdose. Understanding factors associated with post-surgical opioid…
The R Package WMAP: Tools for Causal Meta-Analysis by Integrating Multiple Observational Studies
Subharup Guha, Mengqi Xu, Kashish Priyam +1
Integrating multiple observational studies for meta-analysis has sparked much interest. The presented R package WMAP (Weighted Meta-Analysis with Pseudo-Population) addresses a cri…
Consensus statement on the credibility assessment of ML predictors
Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina +4
The rapid integration of machine learning (ML) predictors into in silico medicine has revolutionized the estimation of quantities of interest (QIs) that are otherwise challenging t…