Richard A. Olshen
Academic Appointments
- Professor, Health Research & Policy - Biostatistics
- Member, Bio-X
- Member, Stanford Cancer Institute
- Professor (By courtesy), Natural Sciences Cluster - Statistics
- Professor (By courtesy), Electrical Engineering
Key Documents
Contact Information
- Academic Offices
Personal Information Email Tel (650) 725-2241Alternate Contact Bonnie Chung Computing Information Systems Analyst Email Tel Work (650)723-5301
Professional Overview
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
Internet Links
Scientific Focus
Current 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
- Significance analysis of xMap cytokine bead arrays. Proc Natl Acad Sci U S A. 2012
- Parent-specific copy number in paired tumor-normal studies using circular binary segmentation. Bioinformatics. 2011; (15): 2038-46
- SNPs and other features as they predispose to complex disease: genome-wide predictive analysis of a quantitative phenotype for hypertension. PLoS One. 2011; (11): e27891
- SUCCESSIVE NORMALIZATION OF RECTANGULAR ARRAYS. Ann Stat. 2010; (3): 1638-1664
- Th17 and Th1 T-cell responses in giant cell arteritis. Circulation. 2010; (7): 906-15
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