
Masonic Cancer Center, University of Minnesota

Research Program: Transplant Biology & Therapy
Distinguished Professor, Department of Biostatistics, School of Public Health
Director, Biostatistics and Informatics Shared Resource
chap@biostat.umn.edu
612-624-9963 — office
Preferred method of contact: e-mail
Dr. Le received a B.S. in mechanical engineering from California State University, Fresno, followed by a Ph.D. in biostatistics from the University of New Mexico. He joined the faculty of the Univesity of Minnesota in 1978. Dr. Le Has published six books and over 150 research papers in various journals.
Dr. Le's research interests are data-driven and include epidemiological methods, cross-over designs, survival analysis, ordered alternatives, ROC curves, and methods for the analysis of in vitro experiments — especially chemo-combination therapy. His collaborations have focused on analyses of survival and categorical data. Currently, his major concentrations are in the areas of cancers and tobacco research.
Le C. T., Grambsch P. M., and G. S. Giebink. Quality control and the identification of vaccine responders using ELISA-derived antibody data. Stat Med. 22:2935-2942, 2003.
Statistical Methods for the comparison of crossing Survival Curves. Chapter 15 (pp. 277-289) in Handbook of Statistics, Volume 23: Survival Analysis; Edited by N. Balakrishnan and C. R. Rao, published by Elsevier B. V., 2004
Le C. T. and P. M. Grambsch. Design and Analysis of In Vitro Experiments for Combination Chemotherapy. J Biopharm Stat. 15: 179--186, 2005.
Le C. T., P. M. Grambsch, and A. Liu. Estimation of Cancer Drug Potencies and Relative Potencies from In Vitro Data. J Biopharm Stat. 15: 903--912, 2005.