activity
20192024
most citedSimultaneous prediction of multiple outcomes using revised stacking algorithms

30 citations · 81 across the 9 of their papers we have counts for

collaborators
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5 papers · 1 filter

stat.ME2024

Minor Issues Escalated to Critical Levels in Large Samples: A Permutation-Based Fix

Xuekui Zhang, Li Xing, Jing Zhang +1

In the big data era, the need to reevaluate traditional statistical methods is paramount due to the challenges posed by vast datasets. While larger samples theoretically enhance ac…

stat.ME2023★ 2 cited

BOSS -- Biomarker Optimal Segmentation System

Liuyi Lan, Xuanjin Cheng, Li Xing +1

Motivation: Precision medicine is a major trend in the future of medicine. It aims to provide tailored medical treatment and prevention strategies based on an individual's unique c…

stat.ME2020

The Optimal Design of Clinical Trials with Potential Biomarker Effects, A Novel Computational Approach

Yitao Lu, Julie Zhou, Li Xing +1

As a future trend of healthcare, personalized medicine tailors medical treatments to individual patients. It requires to identify a subset of patients with the best response to tre…

stat.ME2020

Optimal Study Design for Reducing Variances of Coefficient Estimators in Change-Point Models

Li Xing, Xuekui Zhang, Ardo van den Hout +2

In longitudinal studies, we observe measurements of the same variables at different time points to track the changes in their pattern over time. In such studies, scheduling of the…

stat.ME2019

Logistic Box-Cox Regression to Assess the Shape and Median Effect under Uncertainty about Model Specification

Li Xing, Xuekui Zhang, Igor Burstyn +1

The shape of the relationship between a continuous exposure variable and a binary disease variable is often central to epidemiologic investigations. This paper investigates a numbe…