Charles E. McCulloch

Charles E. McCulloch, PhD, is a Professor and Division Head of Biostatistics in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF) School of Medicine. Before joining UCSF, he served at Cornell University for 18 years, including as Professor and founding Chair of the Department of Statistical Science. He co-authored three textbooks and authored the Institute of Mathematical Statistics monograph Generalized Linear Mixed Models.

Research Interests:

• Longitudinal data analysis
• Correlated, non-normal data models
• Latent class models
• Effects of misspecification on prediction

Publication Trends: Dr. McCulloch's recent work spans biostatistical applications in neurology (brain AVM rupture risk modeling), nephrology (dialysis outcomes), cardiology (heart sound diagnostics), and geriatrics (aging-related bone density and mental health interventions). His methodological contributions focus on statistical efficiency, virtual twins for longitudinal studies, and model misspecification impacts.

Advising & Collaborative Experience: With over 20 years of statistical consulting experience, Dr. McCulloch has collaborated on clinical trials and epidemiological studies across major journals like NEJM, JAMA, and Statistical Methods in Medical Research.