Tianyi Sun
PhD, 2024
Dissertation: Addressing Statistical Challenges in Implementing Real-World Evidence-Based Risk Prediction Models into EHR Systems
Advisor: Dandan Liu
MS, Biostatistics/Theory and Method, Columbia University Mailman School of Public Health; BS, Biological Sciences, Beijing Forestry University
Research interests include: predictive modeling, survival analysis, longitudinal data analysis, machine learning, real-world evidence in healthcare
Activities include: ENAR Council for Emerging and New Statisticians (CENS), 2022–2024
Publications include:
- "Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach" (first author; Statistics in Medicine 2024)
- "The impact of cancer metastases on COVID-19 outcomes: A COVID-19 and Cancer Consortium registry-based retrospective cohort study" (Cancer 2024)
- "Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) cohort study" (eLife 2024; preprint medRxiv 2023)
- "Coinfections in patients with cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) study" (Open Forum Infectious Diseases 2022)
- "Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States" (JAMA Network Open 2022)
- See also Google Scholar