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Steven Goodman, MD, MHS, PhD is Associate Dean of Clinical and Translational Research and Professor of Epidemiology and Population Health, and Medicine. He is co-founder and co-director of the Meta-research innovation Center at Stanford (METRICS), a group dedicated to examining and improving the reproducibility and efficiency of biomedical research. He has since created and leads another initiative, the Stanford Program on Research Rigor and Reproducibility (SPORR), whose purpose is to teach and implement best practices in reproducible research in the School of Medicine. He led the Stanford CTSA KL2 and TL1 training programs from 2012-2019, and now leads the Translational Workforce Development components of the CTSA.Dr. Goodman's own research concerns the proper measurement, conceptualization and synthesis of research evidence, with particular emphasis on Bayesian approaches to quantitation, and qualitative approaches arising from the philosophy of science. He is also interested in developing methods to use shared data to confirm and extend published science. He also has worked on the connections between ethics and clinical research and policy making. Finally, he has a strong interest in developing curricula and new models for teaching the foundations of good scientific practice, from question development to proper study design, conduct, analysis and inference. He teaches courses on clinical research methods, foundations of scientific and statistical reasoning, and evaluation of diagnostic and predictive technologies. He has been a senior statistical editor of Annals of Internal Medicine since 1987 and was Editor of Clinical Trials: Journal of the Society for Clinical Trials from 2004-2013. He is Chair of the Methodology Committee of the Patient Centered Outcomes Research Institute (PCORI), where he led their open science and data sharing efforts, and is scientific advisor for the national Blue Cross–Blue Shield Technology Assessment Program. He has served on numerous Institute of Medicine committees since the mid 1990's, including one on vaccine safety, chairing a 2012 committee on drug safety, and a 2014 committee on sharing data from clinical trials. He was awarded the 2016 Spinoza Chair in Medicine from the University of Amsterdam for his work in scientific inference, received the 2019 Abraham Lilienfeld award from the American College of Epidemiology for his lifetime research and teaching contributions to the field, and was elected into the National Academy of Medicine in 2020.From 1989-2011, Steve served on the faculties of the Johns Hopkins Schools of Medicine and Public Health, where he was co-director of the doctoral program in Epidemiology and member (1989-2011) and then director (2007-2011) of the Johns Hopkins cancer center’s Division of Biostatistics and Bioinformatics. At Hopkins, he taught courses on Systematic reviews and Meta-analysis, Diagnostic and prognostic testing, and several courses on epidemiologic, clinical research and inferential methods. He received an AB from Harvard, majoring in Biochemistry and Applied Math, an MD from NYU, trained and was board-certified in pediatrics at Washington University in St. Louis, and received a master’s degree in Biostatistics and PhD in Epidemiology from Johns Hopkins.
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.