Richard A. Olshen
Academic Appointments
- Professor, Health Research & Policy - Biostatistics
- Professor (By courtesy), Statistics
- Professor (By courtesy), Electrical Engineering
- Member, Bio-X
- Member, Cancer Center
Professional Snapshot
Administrative Appointments
- Chief, Division of Biostatistics, Department of Health Research and Policy, Stanford (1998 - present)
- Director, Biostatistics Unit, UCSD Cancer Center (1978 - 1989)
- Director, Laboratory for Mathematics and Statistics, University of California, San Diego (1982 - 1989)
Honors and Awards
- Fellow, Institute of Electrical and Electronics Engineers (IEEE) (2006)
- Fellow, American Statistical Association (1996)
- Fellow, American Association for the Advancement of Science (1990)
- Fellow, Institute of Mathematical Statistics (1973)
- Fellowship, John Simon Guggenheim Memorial Foundation (1987-88)
Professional Education
| Ph.D.: | Yale University, Statistics (1966) |
Postdoctoral Advisees
Web Site Links
Industry Relationships
Stanford is committed to ethical and transparent interactions with our industry partners. It is our policy to disclose payments of $5,000 or more, equity valued at $5,000 or more in a publicly traded company, or any equity in a privately held company, to physicians and scientists employed by Stanford University from companies or other commercial entities with which they interact as part of their professional activities. View Full Information
| Royalty Payments: | California Statistical Software, Inc. |
| Service on Board of Directors: | California Statistical Software, Inc. |
Scientific Focus
Research Interests
My research is in statistics and their applications to medicine and biology. Many efforts have concerned tree-structured algorithms for classification, regression, survival analysis, and clustering. Those for classification have been used with success in computer-aided diagnosis and prognosis and for studies of complex human disease by association with single nucleotide polymorphisms and other predictors. Those for clustering have been applied to lossy data compression in digital radiography. Modeling and sample reuse methods have been developed for longitudinal data, concerning gait analysis; renal physiology; cholesterol; and molecular genetics.
Publications
- New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients. BMC Cancer. 2008: 66
- Associations among multiple markers and complex disease: models, algorithms, and applications. Adv Genet. 2008: 437-64
- Heritability of left ventricular mass in Japanese families living in Hawaii: the SAPPHIRe Study. J Hypertens. 2007; (5): 985-92
- Canadian multidisciplinary core curriculum for musculoskeletal health. J Rheumatol. 2007; (3): 567-80
- Systematic review: a century of inhalational anthrax cases from 1900 to 2005. Ann Intern Med. 2006; (4): 270-80
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