School of Medicine
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Professor of Health Research and Policy
Current Research and Scholarly Interests Dr. Baker's research is in the area of health economics, and focuses on the effects of financial incentives, organizational structures, and government policies on the health care delivery system, health care costs, and health outcomes.
Professor of Medicine (Center for Primary Care and Outcomes Research), Senior Fellow at SIEPR and Professor, by courtesy, of Health Research and Policy
Current Research and Scholarly Interests My research focuses on the constraints that vulnerable populations face in making decisions that affect their health status, as well as the effects of government policies and programs designed to benefit vulnerable populations.
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
M. Kate Bundorf
Associate Professor of Health Research and Policy and, by courtesy, in Political Economics at the Graduate School of Business
Current Research and Scholarly Interests Her research focuses on health insurance markets including the determinants and effects of individual and purchaser choices, the effects of regulation in insurance markets, the interaction of public and private systems of health insurance, and incentives for insurers to improve health care quality.
Senior Lecturer in Health Research and Policy
Current Research and Scholarly Interests My research interests involve doctor-patient relationship and communication strategies as they pertain to (1) the development and instruction of medical Spanish curriculum, (2) satisfaction in health care delivery with emphasis on cross cultural competency issues, and (3) the effectiveness of interpretive systems in health care settings.
Associate Professor (Research) of Medicine (Quantitative Sciences Unit) and, by courtesy, of Health Research and Policy
Current Research and Scholarly Interests Dr. Desai is the Director of the Quantitative Sciences Unit. She is interested in the application of biostatistical methods to all areas of medicine including oncology, nephrology, and endocrinology. She works on methods for the analysis of epidemiologic studies, clinical trials, and studies with missing observations.
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.