Wen Li

Assistant Professor

The University of Texas Health Science Center at Houston

United States

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Wen Li is an Assistant Professor at The University of Texas Health Science Center at Houston. His research focuses on dynamic prediction models, risk stratification in Alzheimer's disease, and the evaluation of biomarkers in various medical contexts. Recent publications include works on time-dependent discrimination in biomarker evaluation and the impact of neutrophils on cerebrovascular health. He is dedicated to advancing methodologies in predictive analytics within the health sciences.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

Collaborators (4)

Xiaoqian Jiang

Professor

The University of Texas Health Science Center at Houston

UNITED STATES

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Anjali Chauhan

Assistant Professor

The University of Texas Health Science Center at Houston

UNITED STATES

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Sungha Hong

Research Assistant Professor

University of Rochester

UNITED STATES

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John Hagan

Associate Professor

The University of Texas Health Science Center at Houston

UNITED STATES

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Wen Li

Research Interests

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Articles (10)

Dynamic Long‐Term Prediction With Intermediate Event Information: A Flexible Model With Bivariate Time‐Varying Coefficients

Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach

Neutrophils and Neutrophil Extracellular Traps Cause Vascular Occlusion and Delayed Cerebral Ischemia After Subarachnoid Hemorrhage in Mice

Dynamic and concordance-assisted learning for risk stratification with application to Alzheimer’s disease

Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling

Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model

Addressing subject heterogeneity in time‐dependent discrimination for biomarker evaluation

Regression analysis of multivariate recurrent event data allowing time-varying dependence with application to stroke registry data

Conditional concordance‐assisted learning under matched case‐control design for combining biomarkers for population screening

Thromboelastography Indices for Predicting Outcomes After Aneurysmal Subarachnoid Hemorrhage: A Prospective Study

Collaborators (4)

Xiaoqian Jiang

Anjali Chauhan

Sungha Hong

John Hagan

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