Faculty Profile
Charles E. McCulloch, PhD
Professor and Head, Division of Biostatistics
UCSF Box 0560
185 Berry Street, Lobby 5, Suite 5700
San Francisco, CA 94107-1762
Dr. McCulloch received his PhD in Statistics from Cornell University and returned to the faculty there after an appointment at Florida State University. Before coming to UCSF, he spent 18 years at Cornell, eventually becoming Professor and the founding Chair of the Department of Statistical Science. He conducts primary research in the areas of longitudinal data analysis, generalized linear mixed models, and latent class models. He is the co-author of three textbooks and author of the Institute of Mathematical Statistics monograph, "Generalized Linear Mixed Models." He is a fellow of the American Statistical Association, and an elected member of the International Statistical Institute. He was the primary lecturer for an NSF-CBMS Regional Research Conference in 1999 on the topic of generalized linear mixed models. He has over 25 years of statistical consulting and collaborative experience.
Principal Research Interests
- Longitudinal data analysis
- Correlated, non-normal data models
- Latent class models
- Effects of misspecification on prediction — Presentation at the Joint Statistical Meetings (Salt Lake City, 2007); Presentation at the West Coast Stata Conference (Marina Del Rey, 2007).
Principal Teaching Activities
- Biostatistics lectures in Organs and Cancer Blocks
- WNAR (Portland, 2009) short course: course materials
- Lecturer in TICR
- Presentation at the Joint Statistical Meetings (San Francisco, 2003) on the TICR Biostatistics sequence
- Short course at the 61st Annual Deming Conference on Applied Statistics Course Materials
- Visual Fit: a nonlinear regression teaching tool Reference for Visual Fit Run Visual Fit
Selected University & Public Service
- Associate Editor, Journal of the American Statistical Association and Biometrics
- DEB Executive committee
- DEB Finance committee
- Chair, DEB IT Oversight committee
- UCSF Faculty Senate Research Committee
- Director, Division of Biostatistics Grant Development Assistance Program
Publications
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. Vittinghoff E, Glidden DV, Shiboski SC and McCulloch CE. Springer, pp. xvi + 344, 2004.
Generalized, Linear, and Mixed Models, 2nd Edition. CE McCulloch, SR Searle and JM Neuhaus, Wiley, 2008. Link to Wiley. Errata.
Joint modeling of mixed outcome types using latent variables. CE McCulloch. Statistical Methods in Medical Research, 17: 53-73, 2008.
Relaxing the Rule of Ten Events Per Variable in Logistic and Cox Regression. Vittinghoff EV, McCulloch, CE. American Journal of Epidemiology, 165:710-718, 2007.
Separating between- and within-cluster covariate effects using conditional and partitioning methods. Neuhaus JM, McCulloch CE. Journal of the Royal Statistical Society, Series B, 68: 859 – 872, 2006.
Risk Factors for End-Stage Renal Disease: 25-year follow-up. C-Y Hsu, C Iribarren, CE McCulloch, J Darbinian, AS Go. Archives of Internal Medicine, 169: 342-350, 2009.