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Ying Lu

Professor (Curtesy)

Stanford University

United States

Research Interests

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About

Ying Lu is a Professor at Stanford University, USA. Her research areas include statistical methods in precision oncology, evaluation of surrogate endpoints, and survival analysis. She has contributed significantly to understanding trial populations and regulatory differences in antineoplastic agents, as well as investigating treatment approaches for high-risk prostate carcinoma. Professor Lu's recent publications reflect her expertise in applying advanced statistical methods to enhance clinical research outcomes.

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Collaborators (19)

Elsa Solà

Hospital Clínic de Barcelona

SPAIN

Ying Lu

Research Interests

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About

Articles (25)

Design of MOSAAIC (Multi-Ethnic Observational Study in American Asian and Pacific Islander Communities).

Associations of dietary diversity with type 2 diabetes in two Chinese cohorts: a multi-omics study.

Human vaccine responses regulated by parallel cytokine pathways.

Sleep quality and psychological resilience: a cross-sectional study of community-dwelling adults in China.

Frequent Sweetened Beverage Consumption Is Associated With Accelerated Biological Aging: Evidence From a Population-Based Study and Gut Microbiota Analysis.

Comments on: Randomized clinical trials and the proportional hazards model for recurrent events

Recommendations for the DesIgn of sham acupuncture in RandomizEd Controlled Trials (the DIRECT guidelines).

Stroke Risk After Ischemic Ocular Events: A Real-World Study of an Electronic Health Record Database.

SBR Special Section "Overall Survival in Oncology Trials and Drug Development"

Statistical modeling of dependencies in medicine

Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials.

Comparing Missing Data Strategies for Generalized Pairwise Comparisons in Randomized Clinical Trials: A Simulation Study.

Publishing Prediction Models in Precision Oncology: A Summary of Guidelines and Recommendations.

On the two-step hybrid design for augmenting randomized trials using real-world data

Natural history study of recessive dystrophic epidermolysis bullosa wounds and patient reported outcomes using mobile application home photography.

Prademagene zamikeracel for recessive dystrophic epidermolysis bullosa wounds (VIITAL): a two-centre, randomised, open-label, intrapatient-controlled phase 3 trial.

CAR19 therapy drives expansion of clonal hematopoiesis and associated cytopenias.

Liver Metastasis Risk and Timing in Pancreatic Cancer Patients Using Electronic Health Records.

Age-dependent cytokine surge in blood precedes cancer diagnosis.

Smoking-related gut microbiota alteration is associated with obesity and obesity-related diseases: results from two cohorts with sibling comparison analyses.

Evaluation of Surrogate Endpoints Using Information-Theoretic Measure of Association Based on Havrda and Charvat Entropy

On the empirical choice of the time window for restricted mean survival time.

A Qualitative Study on the Differences Between Trial Populations and the Approved Therapeutic Indications of Antineoplastic Agents by 3 Regulatory Agencies From 2010 to 2018.

Veterans Affairs Cooperative Studies Program Study #553: Chemotherapy After Prostatectomy for High-risk Prostate Carcinoma: A Phase III Randomized Study.

Statistical Methods in Precision Oncology.

Collaborators (19)

Elsa Solà

Holden T. Maecker

Trang VoPham

Chi Chang

Clete A Kushida

David B Miklos

lu tian

Victor Henderson

Catherine Blish

Bharat Thyagarajan

William Robinson

Esther John

Jean Tang

Latha Palaniappan

Albert Chiou

Ruben van Eijk

Jingyu Jin

Guangbo Chen

Purvesh Khatri

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