Yidan Shi, PhD

My research focuses on developing and applying advanced statistical methodologies in survival analysis, longitudinal data analysis, and causal inference, with an emphasis on addressing complex sampling conditions, mismeasured outcomes, and disease heterogeneity. I integrate event history data with multi-omics data and machine learning models to enhance predictive accuracy and generate deeper insights. Much of my collaborative work explores disease progression, risk factors, and treatment effects across aging, neurology, cancer, and mental health, with a particular focus on Alzheimer’s disease and related dementias (ADRD). My collaborative research also include clinical trials on interventions for opioid use and longitudinal follow-up studies for survivors on the 9/11 World Trade Center (WTC) attacks.