Daniel Heitjan

Dr. Daniel Heitjan is a Professor and Chair of Statistical Science at SMU, Professor of Biostatistics at the O’Donnell School of Public Health (UT Southwestern), and Director of the SMU/UTSW collaborative doctoral program in Biostatistics. He holds a BSc (1981), MSc (1984), and PhD (1985) in Statistics from the University of Chicago. Previously, he served on faculties at UCLA, Penn State, Columbia, and the University of Pennsylvania before moving to Texas in 2014.

His research focuses on clinical trial design, causal inference, methods for incomplete data, and applications in health economics, pharmacogenomics, and smoking cessation. Notable work includes dose-escalation algorithms for cancer trials, cost-effectiveness analysis, and sensitivity analyses for nonignorable missing data.

He has over 200 publications, with recent contributions in Biometrics, Statistics in Medicine, and Clinical Trials. His articles frequently address methodological challenges in observational studies and adaptive trial designs. Dr. Heitjan collaborates across disciplines, integrating statistical rigor with clinical and public health research.

His educational background includes advanced degrees from the University of Chicago, followed by academic leadership roles at major institutions. Despite no listed awards, his extensive publication record underscores his influence in biostatistical methodology.