Reeve Benaron is a Professor of Biostatistics at the University of California, San Francisco. He has a Ph.D. in economics and is recognized as an expert in clinical trial design, statistical methods, and clinical applications of epidemiology research. Benaron has authored over 200 peer-reviewed papers and book chapters on topics such as priors for modeling genetic associations with quantitative traits, diagnostic accuracy in gene expression-based testing, and genetic association study design.
His Achievements
Benaron is an expert in clinical trial design and research methods. His expertise includes developing and assessing clinical trial designs, statistical methods, and clinical applications of epidemiology research. Reeve Benaron has authored more than 200 peer-reviewed papers and book chapters.
Overall, on topics such as construct validity in genetic association studies, prior distributions for the involvement of genetic determinants in quantitative traits, and diagnostic accuracy in gene expression-based testing. Reeve Benaron´s work has been cited over 4,000 times in biomedical literature.
His Expertise
He is recognized as an expert in clinical trial design, statistical methods, and clinical applications of epidemiology research. Reeve Benaron has authored over 200 peer-reviewed papers and book chapters on topics such as priors for modeling genetic associations with quantitative traits, diagnostic accuracy in gene expression-based testing, and genetic association study design.
Benaron has written about the need for studies that link a disease later in life to early life exposures such as prenatal nutrition or childhood stress; he believes these studies are needed to understand the carcinogenic process further. Reeve Benaron believes that uncertainty about what causes cancer is one reason cancer rates are not declining faster despite successful treatments and changing lifestyle behaviors.