Browse Faculty by Name | by Subject Area
Subject Area(s): Marketing, Statistics, Health Care
Biography:
Bruce Cooil has wide-ranging business and academic experience as a statistical modeler. He has worked with health-care firms, including HCA, Solucient, TeamHealth, Tennessee Oncology, and LIFETEST on models for the delivery of more effective health care services, and to develop forecasts of mortality and morbidity rates. In the area of marketing research, he has worked with Ipsos Loyalty and AT&T. He has also written and consulted on medical malpractice and automobile insurance claims and indemnities, and has developed predictive insurance models for AARP and the Robert Wood Johnson Foundation.
Cooil’s publications are widely cited and have appeared in business, statistics and medical journals, including the Journal of Marketing Research, the Journal of Marketing, Marketing Science, MIT Sloan Management Review, Psychometrika, the Journal of the American Statistical Association, the Annals of Probability, Circulation, and the New England Journal of Medicine. At Owen, Cooil has received the Dean's Award for Research Productivity (2004) and Research Excellence (2003), and over a dozen teaching awards and distinctions, including election as "Outstanding Professor" by the executive MBA class of 2004, and the Dean's Award for Teaching Excellence.
Professor Cooil has developed reliability estimators for qualitative data that are used widely in business and management, communication, applied psychology, psychometrics, health care and in the natural sciences. For his collaborative work in marketing, he has also received several awards, including the Lehmann Award (2001) and the H. Paul Root Award (2007). In medicine, he and his collaborators have developed a significantly more accurate 'volumetric' measure of coronary calcification by electron beam tomography which can be used to follow the progression of atherosclerosis, and to monitor the effects of treatment in individual patients. This approach has been shown to significantly reduce mortality and morbidity rates of coronary heart disease while providing substantial cost savings. He is also a co-author of the textbook: Statistics for Applied Problem Solving and Decision Making, with R.J. Larsen and M.L. Marx.
A Honolulu native, Cooil is a former president of the Stanford Alumni Association of Tennessee, and has served as Council Representative for the American Statistical Association's Section on Statistics in Marketing, and on the American Statistical Association's Council of Sections Fiscal Oversight Committee (Curriculum Vitae).
Education
B.S., Mathematics, Stanford University, 1975 M.S., Statistics, Stanford University, 1976 Ph.D., Statistics, University of Pennsylvania, 1982
Education: B.S., Mathematics, Stanford University, 1975M.S., Statistics, Stanford University, 1976Ph.D., Statistics, University of Pennsylvania, 1982
Course(s) Taught: - EMGT 782: Statistics for Management Decisions - MGT 480: Business Forecasting - MGT 381: Managerial Statistics
Other Course(s): Mathematical Statistics, Bayesian Decision Analysis,Exploratory Data Analysis & Modeling,Lifetime Distributions & Survival Analysis,Data MiningAdvanced Forecasting Models
Research Interest(s): Statistical inference, probability, and applications in business. Specific interests in latent class models for marketing and medical research, qualitative data reliability, large sample estimation theory and extreme value theory.
Podcast(s) & Video:
BACK TO TOP
Voice: 615-322-3336 Fax: 615-343-7177 Office #: 318 Email