Chap T. Le, Ph.D.
Dr. Le teaches "PubH 7405: Regression" and "PubH 7470:
Statistics for Translational and Clinical Research". His collaborations have
focused on the analyses of survival and categorical data; currently, major
concentrations are in the areas of cancers and tobacco research. His own
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. Dr. Le received the Leonard M. Schuman
Excellence in Teaching award presented by the University of
Minnesota School of Public Health (1988) and the Award for Outstanding
Contributions to Post-Baccalaureate, Graduate and Professional Education
by the University of Minnesota (2001; designated throughout his career at
the University of Minnesota as "Distinguished Teaching Professor of
Biostatistics"). He is the
author of several text books [Fundamentals of Biostatistical Inference(1992), Health and
Numbers: Basic Biostatistical Methods(with JB Boen, 1995), Applied Survival Analysis (1997),
Applied Categorical Data Analysis (1998), Health and Numbers:
A Problems-based Introduction to Biostatistics (2001),
Introductory Biostatistics (2003), Statistics Quick Reference Guide for Medical Affairs (2007),
Health and Numbers: Introductory Biostatistics with Microsoft Excel (2010),
and Applied Categorical Data Analysis and Translational Research (2010)]
and research papers in Biometrics, Statistics in Medicine, Journal of Biopharmaceutical Statistics, and other
journals in biomedical sciences. Dr. Le was born in Vietnam, is
an Engineering graduate of California State University at Fresno, and
received his Ph.D. in Statistics from the University of New Mexico.
Selected Recent Publications:
- Le C. T. and P. M. Grambsch. Design and Analysis of In Vitro
Experiments for Combination Chemotherapy. Journal of
Biopharmaceutical Statistics 15: 179--186, 2005.
- Le C. T. A Solution to the most basic Optimization Problem associated
with an ROC Curve. Statistical Methods in Medical Research : 15:
- Qian J. Q., Bostwick D. G., Iczkowski K. A., Betre K., Wilson M. J., Le C. T.,
and A. A. Sinha. Characterization of Prostate Cancer in needle biopsy by Cathepsin B, Cell
proliferation, and DNA Ploidy. Anticancer Research 30: 719-725, 2010.
- DeFor T. E., Majhail N. S., Weisdoff D. J., Brunstein C. G., McAlvoy S., Arora M.,
and C. T. Le. A modified comorbidity index for hematopoietic cell transplantation.
Bone Marrow Transplantation 45: 933-938, 2010.
The views and opinions expressed in these pages are strictly those of the author and
have not been approved by the University of Minnesota.