School of Medicine
Showing 1-10 of 11 Results
Professor of Medicine (General Medical Disciplines) and of Health Research and Policy (Epidemiology)
Current Research and Scholarly Interests I am interested in issues relating to the representation and measurement of evidence in medical research, and determinants of the truth of medical findings, using a Bayesian framework. I also do work in evidence synthesis, comparative effectiveness research, and the ethics of clinical research.
Victor W. Henderson, MD, MS
Professor of Health Research and Policy (Epidemiology) and of Neurology
Current Research and Scholarly Interests Research interests:
(1) Risk factors for age-associated cognitive decline and dementia,
(2) Therapeutic strategies to improve cognitive function in aging and dementia, and
(3) Brainbehavior relations as they pertain to human cognition.
John P.A. Ioannidis
C. F. Rehnborg Professor in Disease Prevention in the School of Medicine and Professor of Health Research and Policy (Epidemiology) and, by courtesy, of Statistics
Current Research and Scholarly Interests Evidence-based medicine
Clinical and molecular epidemiology
Human genome epidemiology
Reporting of research
Empirical evaluation of bias in research
Statistical methods and modeling
Meta-analysis and large-scale evidence
Prognosis, predictive and personalized medicine and health
Sociology of science
Abby C. King
Professor of Health Research and Policy (Epidemiology) and of Medicine (Stanford Prevention Research Center)
Current Research and Scholarly Interests My interests include the application of behavioral theory and social ecological approaches to achieve large scale changes impacting chronic disease prevention and control; expanding the reach and translation of evidence-based interventions through state-of-the-art technologies; exploring social and physical environmental influences on health; applying community participatory research perspectives to address health disparities; and policy-level approaches to health promotion/disease prevention.
Associate Professor of Medicine (Endocrinology) and, by courtesy, of Health Research and Policy (Epidemiology) at the Palo Alto Veterans Affairs Health Care System
Current Research and Scholarly Interests I am an endocrinologist & clinical investigator. My group studies disease prevention, outcomes & clinical impact of hormonal/metabolic perturbations (e.g. from environmental exposures & interactions with molecular/other factors) & clinical therapies. These interests cut across multiple complex chronic diseases, the aging process, & critical lifespan stages; we aim to use novel molecular epi, 'big' data, & new technologies for better insights to etiology & enhanced health services & delivery.
Lorene Nelson, PhD
Associate Professor of Health Research and Policy (Epidemiology)
Current Research and Scholarly Interests Primary research interests: (i) genetic and environmental determinants of neurodegenerative disorders, including Parkinson's disease, amyotrophic lateral sclerosis and multiple sclerosis, (ii) transdisciplinary strategies for improving population health.
Clinical Associate Professor, Health Research & Policy
Current Research and Scholarly Interests My research interest focuses on the epidemiology of Parkinsons disease and amyotrophic lateral sclerosis, specifically evaluating the genetic and environmental contributions to these neurodegenerative disorders. I am also interested in studying the relation of cognition, estradiol exposure (endogenous and exogenous), and genetic factors.
Kristin Sainani (n e Cobb)
Associate Professor (Teaching) of Health Research and Policy (Epidemiology)
Current Research and Scholarly Interests Science writing, science communication, biostatistics. Research areas: osteoporosis, stress fractures, sports injuries, female athlete triad.
Weiva Sieh, MD, PhD
Assistant Professor of Health Research and Policy (Epidemiology)
Current Research and Scholarly Interests Dr. Sieh's research focuses on identifying molecular and epidemiologic factors underlying cancer susceptibility and outcomes in order to improve prevention, detection and treatment, especially of hormone-related cancers. Current interests include:
1) Genetic and environmental determinants of mammographic breast density; relationship of breast density and other image features to breast cancer risk.
2) Ovarian cancer risk and prognosis.
3) Genomic risk prediction using machine learning methods.