Faculty Profile
Charles E. McCulloch, PhD
Professor and Head, Division of Biostatistics
UCSF Box 0560
185 Berry Street, Lobby 4, 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
- 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. McCulloch CE and Searle SR. Wiley, pp. xxi + 325, 2000.
Inactivation of Prions by Acidic Sodium Dodecyl Sulfate. Peretz D, Supattapone S, Giles K, Vergara J, Freyman Y, Lessard P, Safar JG, Gidden DV, McCulloch CE, Nguyen H-OB, Scott M, DeArmond SJ, and Prusiner SB. Journal of Virology 80:322-331, 2006.
Repeated measures ANOVA, R.I.P.? McCulloch CE. Chance 18: 29-33, 2005.
The Association Between Phonocardiographic Third and Fourth Heart Sounds and Objective Measures of Left Ventricular Function. Marcus GM, Gerber IL, McKeown BH, Vessey JC, Jordan MV, Huddleston M, McCulloch CE, Foster E, Chatterjee K, Michaels AD. Journal of the American Medical Association 293:2238-2244, 2005.
Ethics and sample size. Bacchetti P, Wolf LE, Segal MR, McCulloch CE. American Journal of Epidemiology 161(2):105-10, 2005.
Evaluation of Community-Intervention Trials via Generalized Linear Mixed Models. Yasui Y, Feng Z, Diehr P, McLerran D, Beresford SAA, McCulloch CE. Biometrics 60:1043-1052, 2004.
Chronic Kidney Disease and Risk of Death, Cardiovascular Events, and Hospitalization. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C-Y. New England Journal of Medicine 351: 1296-2005, 2004.
Latent pattern mixture models for informative intermittent missing data in longitudinal studies. Lin H, McCulloch CE and Rosenheck RA. Biometrics 60:295-305, 2004.
Back to the future: Smoking in movies in 2002 compared with 1950 levels. Glantz SA, Kacirk KW, McCulloch CE. American Journal of Public Health 94(2):261-3, 2004.
Factors controlling spatial variation of tree species abundance in a forested landscape. Schwarz PA, Fahey TJ and McCulloch CE. Ecology 84:1862-1878, 2003.
Predicting the effects of climate change on avian life history traits. Winkler DW, Dunn PO and McCulloch CE. Proceedings of the National Academy of Sciences 99(21):13595 – 13599, 2002.
Latent Class Models for Joint Analysis of Longitudinal Biomarker and Event Process Data: Application to Longitudinal Prostate-Specific Antigen Readings and Prostate Cancer. Lin H, Turnbull BW, McCulloch CE, and Slate EH. Journal of the American Statistical Association 97:53-65, 2002.