Xiaofei Wang

About

Xiaofei Wang is a Professor of Biostatistics and Bioinformatics at Duke University and a member of the Duke Cancer Institute. His role involves leading research and education in biostatistics and bioinformatics, contributing to the advancement of statistical methods and computational approaches in biomedical research. His work supports the integration of statistical genetics, genomics, and translational biomedical informatics, aiming to improve understanding and treatment of cancer and other diseases. Based at Duke University, he is actively engaged in academic leadership, research initiatives, and collaborative efforts within the Duke community.

Research topics

• Internal medicine
• Medicine
• Computer Science
• Machine Learning
• Artificial Intelligence
• Oncology
• Psychology
• Psychiatry
• Surgery

Selected publications

• Perioperative outcomes of pulmonary resection after neoadjuvant pembrolizumab in patients with non–small cell lung cancer

  Journal of Thoracic and Cardiovascular Surgery · 2021 · 108 citations

  DOI

• High-Dose Once-Daily Thoracic Radiotherapy in Limited-Stage Small-Cell Lung Cancer: CALGB 30610 (Alliance)/RTOG 0538

  Journal of Clinical Oncology · 2023 · 90 citations

  PURPOSE: Although level 1 evidence supports 45-Gy twice-daily radiotherapy as standard for limited-stage small-cell lung cancer, most patients receive higher-dose once-daily regimens in clinical practice. Whether increasing radiotherapy dose improves outcomes remains to be prospectively demonstrated. METHODS: This phase III trial, CALGB 30610/RTOG 0538 (ClinicalTrials.gov identifier: NCT00632853), was conducted in two stages. In the first stage, patients with limited-stage disease were randomly…

  DOI

• Latent Profile/Class Analysis Identifying Differentiated Intervention Effects

  Nursing Research · 2022 · 36 citations

  BACKGROUND: The randomized clinical trial is generally considered the most rigorous study design for evaluating overall intervention effects. Because of patient heterogeneity, subgroup analysis is often used to identify differential intervention effects. In research of behavioral interventions, such subgroups often depend on a latent construct measured by multiple correlated observed variables. OBJECTIVES: The purpose of this article was to illustrate latent class analysis/latent profile analysi…

  PublisherDOI

• Secondary Analysis of the Rate of Second Primary Lung Cancer From Cancer and Leukemia Group B 140503 (Alliance) Trial of Lobar Versus Sublobar Resection for T1aN0 Non–Small-Cell Lung Cancer

  Journal of Clinical Oncology · 2024-01-12 · 13 citations

  articleOpen access

  Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical trial updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. Patients with early-stage non–small-cell lung cancer (NSCLC) who undergo cura…

  PublisherOA PDFDOI

• Prognostic Factors in Limited-Stage Small Cell Lung Cancer

  JAMA Network Open · 2024-10-24 · 8 citations

  articleOpen access

  Importance: The impact of patient-specific, disease-related, and social factors on outcomes in limited-stage small cell lung cancer (LS-SCLC) is not well defined. A post hoc secondary analysis of such factors from the Cancer and Leukemia Group B (CALGB) 30610-Radiation Therapy Oncology Group (RTOG) 0538 trial may impact future trial design. Objective: To assess the comprehensive demographic, disease-related, treatment-related, and social factors for potential associations with survival outcomes…

  PublisherOA PDFDOI

Recent grants

• Empower treatment effects evaluation of randomized clinical trials for elderly patients with integrated real-world data

  NIH · $1.6M · 2020–2025

• NIH Grant R21AG042894

  NIH · $373k · 2016

• Developmental Funds

  NIH · $135.9M · 1997–2030

Frequent coauthors

• Everett E. Vokes

  University of Chicago

  116 shared

• Herbert Pang

  97 shared

• Lin Gu

  95 shared

• Thomas E. Stinchcombe

  Duke University

  90 shared

• Robert A. Kratzke

  83 shared

• David H. Harpole

  Durham VA Health Care System

  72 shared

• Martin J. Edelman

  Realistic Education in Action Coalition to Foster Health

  70 shared

• Lydia Hodgson

  Miami Heart Research Institute

  58 shared

Education

• PhD, Biostatistics

  University of North Carolina

Similar researchers at Duke University

• Laine Elliott Thomash-90
• Kevin Phillip Weinfurth-75
• Elizabeth Louise Turnerh-52