
معرفی
David Yanez serves as Professor of Biostatistics & Bioinformatics at Duke University School of Medicine, holding dual appointments in the Duke Clinical Research Institute (DCRI) and Biostatistics, Epidemiology, and Research Design (BERD) Methods Core. His methodological expertise drives collaborative research across cardiovascular, neurological, and surgical disciplines while mentoring through BIOSTAT 718: Analysis of Correlated and Longitudinal Data.
Education
- Ph.D. in Statistics/Biostatistics, Arizona State University (1993)
Research Focus
Dr. Yanez specializes in advanced biostatistical applications for complex clinical questions, with particular emphasis on longitudinal data modeling, clinical trial design under exception from informed consent, and multiparameter monitoring in critical care settings. His work bridges statistical innovation with real-world medical challenges in pain management, perioperative safety, and emergency pediatrics, often leveraging large multicenter datasets to generate evidence for practice-changing interventions.
Publication Trends
Analysis of his recent publications reveals three dominant trajectories: (1) Methodological refinement of intraoperative monitoring systems through artifact detection algorithms, (2) Optimization of community consultation protocols for emergency research during pandemics, and (3) Development of specialized hemostasis reference ranges for obstetric populations. These threads demonstrate his capacity to adapt statistical frameworks to rapidly evolving clinical environments while maintaining rigorous methodological standards.
Grant Portfolio
- Splanchnic Nerve Modulation In Heart Failure (Splanchnic X) (NHLBI, 2024-2029): Principal statistical leadership for neural modulation trial
- ASD Language Impairment Assessment (NIH, 2025-2027): Remote assessment protocol development
- IMPACt-LBP Implementation Trial (NIH, 2021-2026): Multidisciplinary conservative care model evaluation
- PreVent 2 Study (NIH, 2022-2026): Endotracheal tube comparison for pneumonia prevention
- Electromagnetic Interference Study (OHSU, 2023-2025): ICD safety during surgical procedures
- TEMPLE Trial (OHSU, 2022-2023): Hemodynamic management post-spinal cord injury
Research Infrastructure
As a core DCRI member, Dr. Yanez contributes to one of the world's largest academic clinical research organizations, directing statistical components for >50 active trials. His BERD Methods Core role involves developing standardized analytical pipelines for Duke's enterprise research data warehouse, with recent focus on integrating remote patient monitoring data into traditional clinical trial frameworks.





