7 citations · 9 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
WMAP: An R Package for Causal Meta-Analysis by Integrating Multiple Observational Studies
Subharup Guha, Mengqi Xu, Kashish Priyam +2
Integrating multiple observational studies for meta-analysis has sparked much interest. The presented R package WMAP (Weighted Meta-Analysis with Pseudo-Populations) (Guha et al.,…
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…
Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates
Subharup Guha, Yi Li
Comparative meta-analyses of groups of subjects by integrating multiple observational studies rely on estimated propensity scores (PSs) to mitigate covariate imbalances. However, P…
Kernel Cox partially linear regression: building predictive models for cancer patients' survival
Yaohua Rong, Sihai Dave Zhao, Xia Zheng +1
Wide heterogeneity exists in cancer patients' survival, ranging from a few months to several decades. To accurately predict clinical outcomes, it is vital to build an accurate pred…