Amy H. Herring is Professor of Statistical Science and Research Professor of Global Health at Duke University. Dr. Herring received her doctorate in biostatistics at Harvard University and came to Duke from UNC-Chapel Hill, where she was distinguished professor of biostatistics. Her research interests include development of statistical methodology for longitudinal or clustered data and applications of statistics in population health and medicine. She has received numerous awards for her work, including the Mortimer Spiegelman Award from the American Public Health Association as the best applied public health statistician under age 40. Her research program is funded by NIH, and she holds leadership positions at the national and international level, including as Past Chair of the American Statistical Association's Biometrics Section and as Executive Secretary of the International Society for Bayesian Analysis. She sits on several national committees, including the National Academy of Science Committee on Applied and Theoretical Statistics and the Research Committee of the Health Effects Institute. In addition to her appointments in statistical science and global health, Professor Herring is Co-Director of Duke Forge, Duke's Center for Actionable Health Data Science.
Case Studies in Data Science
Application of statistical and data science skills to in-depth data analysis projects in global health. Principled use and interpretation of modern tools, including data wrangling and munging, visualization, exploratory analysis, predictive modeling, and inference using modern statistical software applied to global health data. Emphasis on communication of analysis results both technically and non-technically via presentations and written reports. Students must have access to data for course project.
Prerequisite: GLHLTH 705.