School of Medicine
Showing 1-10 of 12 Results
Professor (Research) of Health Research and Policy, Emeritus
Bio I received my PhD. in Mathematical Statistics in 1967. I joined the research community at the Stanford University School of Medicine, Division of Immunology & Rheumatology, in 1984 as head statistician directing the biostatistics consulting and analytic support of the Arthritis Rheumatism Aging Medical Information System (ARAMIS) and Multipurpose Arthritis Center (MAC) grant-related research programs. In 1993 I was appointed Associate Professor with a joint appointment in the Departments of Medicine and of Health Research & Policy, and am currently Professor of Biostatistics at Stanford University, emeritus since 2007. My contributions to the statistics literature span numerous fields, including methods of sample size estimation, efficiency and bias of estimators, research methods for kappa statistics, non-parametric classification methods and methods of assessing multi-parameter endpoints. I have over 200 peer-reviewed publications. I have been directly involved with the development of numerous criteria rules for classification of diseases and with establishing guidelines for clinical trial research and in proposing responder criteria for osteoarthritis drugs. Since 1987, I have been a consultant on an ad hoc basis to pharmaceutical and biotechnical firms, including both start-up and established companies. I have extensive experience with devices, drugs and biologics and have participated in all aspects of applying statistics to implement investigational plans; e.g.: for protocol development, design of trials, database design. I’ve been a member of the FDA Statistical Advisors Panel, the statistical member on numerous data safety monitoring boards, and frequently represent companies at meetings with the FDA
Assistant Professor of Health Research and Policy
Current Research and Scholarly Interests My research develops theory and methodology to perform statistical inference about the latent structure of complex systems. I am collaborating with individuals in the Cancer Center on data from phospho flow cytometry and protein arrays.
Max H. Stein Professor and Professor of Statistics and of Health Research and Policy
Current Research and Scholarly Interests Theories of inference applied to biostatistical data;, the bootstrap method.
John A. Overdeck Professor and Professor of Health Research and Policy
Current Research and Scholarly Interests Flexible statistical modelling, datamining, bioinformatics, and statistical computing.
Marjorie Mhoon Fair Professor in Quantitative Science and Professor of Statistics and of Health Research and Policy (Biostatistics)
Current Research and Scholarly Interests Empirical bias/shrinkage estimation; non-parametric, smoothing; statistical inverse problems.
Philip W. Lavori
Professor of Health Research and Policy and, by courtesy, of Statistics
Current Research and Scholarly Interests Biostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
Professor of Health Research and Policy (Biostatistics)
Current Research and Scholarly Interests Biostatistics, clinical trials, statistical evaluation of medical diagnostic tests, radiology, osteoporosis, meta-analysis, medical decisoin making
Richard A. Olshen
Professor of Health Research & Policy (Biostatistics) and, by courtesy, of Electrical Engineering and of Statistics
Current Research and Scholarly 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.
Associate Professor of Health Research and Policy and, by courtesy, of Statistics
Current Research and Scholarly Interests Statistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.