Bruce Cooil

Bruce Cooil is a Professor at Vanderbilt University renowned for his work in statistical inference and decision models applied to healthcare and business. His research focuses on latent class models, qualitative data reliability, and large sample estimation theory. He has collaborated extensively with healthcare organizations like HCA and the Monroe Carell Jr. Children’s Hospital, developing predictive models for healthcare delivery and mortality forecasting. His contributions to marketing science include seminal work on the Net Promoter metric, earning the H. Paul Root Award. He holds a Ph.D. in Statistics from the Wharton School, University of Pennsylvania, and has authored over 70 publications across top-tier journals including the New England Journal of Medicine and Harvard Business Review.

Consulting & Impact:

• Healthcare: Developed volumetric coronary calcification measures reducing mortality rates and costs
• Marketing: Pioneered Net Promoter metric analysis with industry leaders like AT&T and Ipsos Loyalty
• Insurance: Created predictive models for AARP and Robert Wood Johnson Foundation

Leadership:

• Former President of the Stanford Alumni Association of Tennessee
• Member of the American Statistical Association's Council of Sections Fiscal Oversight Committee

Key Contributions:

• Developed widely used reliability estimators for qualitative data
• Co-authored Statistics for Applied Problem Solving and Decision Making
• Recipient of the Robert Johnston Outstanding Paper Award (2014)

Research Themes: His work bridges statistical theory with practical applications in healthcare policy, consumer behavior, and organizational decision-making, emphasizing interdisciplinary collaboration across medical, business, and social science domains.