RALPH D’AGOSTINO is chair of the Mathematics and Statistics Department, professor of mathematics/statistics and public health, and director of the Statistics and Consulting Unit and the executive director of the M.A./Ph.D. program in biostatistics, all at Boston University. He has been affiliated with the Framingham Study since 1982, and is coprincipal investigator of the core contract and director of data management and statistical analysis for the study. His major fields of research are clinical trials, epidemiology, prognostics models, longitudinal analysis, multivariate analysis, robustness, and outcomes/effectiveness research. He is a fellow of ASA and the Cardiovascular Epidemiology Council of the American Heart Association. He has twice received the special citation of the commissioner of the U.S. Food and Drug Administration (FDA), and he was named statistician of the year by the Boston Chapter of ASA. He received A.B. and A.M. degrees in mathematics from Boston University and a Ph.D. in mathematical statistics from Harvard University.

KAY DICKERSIN is director of the Center for Clinical Trials at the Bloomberg School of Public Health and professor in the Department of Epidemiology, both at Johns Hopkins School of Public Health. Previously, she served as the director of the Center for Clinical Trials and Evidence-based Health Care at Brown University and held faculty positions in the Department of Epidemiology and Preventive Medicine and the Department of Ophthalmology at the University of Maryland School of Medicine. Her areas of research include randomized clinical trials, trials registers, systematic reviews and meta-analysis, publication bias, peer review, and evidence-based health care. She has received a Howard Hughes Fellowship in medical research from Harvard Medical School, and she is an elected member of the Institute of Medicine. She received B.A. and M.A. degrees in zoology from the University of California at Berkeley and a Ph.D. in epidemiology from the School of Hygiene and Public Health of Johns Hopkins University.

SCOTT S. EMERSON is professor of biostatistics in the Department of Biostatistics at the University of Washington. Previously, he held faculty positions at the Fred Hutchinson Cancer Research Center and the University of Arizona. His areas of research are clinical trials, sequential testing, survival analysis, categorical data, nonparametric Bayesian statistics, classification and regression trees, statistical consulting, and computer-intensive methods in statistics. He is a fellow of ASA. He received a B.A. in physics, an M.S. in computer science, and an M.D. from the University of Virginia, as well as a Ph.D. in biostatistics from the University of Washington.

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