Ruth Etzioni, PhD

/content/dam/www/faculty-photos/E/ruth-etzioni/ruth-etzioni.jpg
Dr. Ruth Etzioni PhD
FACULTY MEMBER

Ruth Etzioni, PhD

Professor, Public Health Sciences Division, Fred Hutch

Professor
Public Health Sciences Division, Fred Hutch

Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Rosalie and Harold Rea Brown Endowed Chair, Fred Hutch

Rosalie and Harold Rea Brown Endowed Chair
Fred Hutch

Fax: 206.667.7264
Mail Stop: M3-B232

Dr. Ruth Etzioni is a biostatistician who primarily focuses on cancer screening and early detection. Much of her work is in the area of prostate and breast cancer, where she develops methods for evaluating diagnostic tests; creates mathematical models to reflect the impact of screening tests on the incidence and mortality rates of these cancers; calculates costs and benefits of preventive screening; tracks population trends with regard to screening and related behaviors and works with investigators on trial design and analysis. Dr. Etzioni also researches overdiagnoses associated with certain screening tests — when screening finds cancers that would not cause symptoms or death within a patient’s natural lifetime. She also evaluates novel cancer biomarkers and tracks patterns and outcomes of cancer care. Dr. Etzioni leads the biostatistics core for the National Cancer Institute-funded multicenter Northwest Prostate Cancer Specialized Program of Research Excellence, or SPORE, and she has a longstanding interest in researching, tracking and working to eliminate health disparities. 

Other Appointments & Affiliations

Affiliate Investigator, Clinical Research Division, Fred Hutch

Affiliate Investigator
Clinical Research Division, Fred Hutch

Education

PhD, Carnegie Mellon University, Statistics, 1990

MS, Carnegie Mellon University, Statistics, 1987

BS, University of Cape Town, Statistics, 1985

Research Interests

Development and implementation of statistical methods for prostate cancer studies