6 citations · 6 across the 7 of their papers we have counts for
7 papers
Authentic Multinational Federated Time-to-Event Analyses Among People with HIV in Latin America
Kaixing Liu, Zhuohui J. Liang, Fabio Paredes +12
Multinational HIV cohort studies face regulatory barriers to cross-border sharing of individual participant data, limiting centralized pooled analyses. Federated statistical method…
PDA in Action: Ten Principles for High-Quality Multi-Site Clinical Evidence Generation
Yong Chen, Jiayi Tong, Yiwen Lu +13
Background: Distributed Research Networks (DRNs) offer significant opportunities for collaborative multi-site research and have significantly advanced healthcare research based on…
Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPT
Yiwen Lu, Lu Li, Dazheng Zhang +20
Sample size calculations for power analysis are critical for clinical research and trial design, yet their complexity and reliance on statistical expertise create barriers for many…
Enabling Inclusive Systematic Reviews: Incorporating Preprint Articles with Large Language Model-Driven Evaluations
Rui Yang, Jiayi Tong, Haoyuan Wang +8
Background. Systematic reviews in comparative effectiveness research require timely evidence synthesis. Preprints accelerate knowledge dissemination but vary in quality, posing cha…
OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data
Yiwen Lu, Jiayi Tong, Yuqing Lei +8
We introduce OrigamiPlot, an open-source R package and Shiny web application designed to enhance the visualization of multivariate data. This package implements the origami plot, a…
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Wentao Li, Jiayi Tong, Md. Monowar Anjum +3
Objectives: This paper develops two algorithms to achieve federated generalized linear mixed effect models (GLMM), and compares the developed model's outcomes with each other, as w…
Testing for publication bias in meta-analysis under Copas selection model
Rui Duan, Jin Piao, Arielle Marks-Anglin +5
In meta-analyses, publication bias is a well-known, important and challenging issue because the validity of the results from a meta-analysis is threatened if the sample of studies…