Presented By: Sessions @ Michigan
2024 Rod Little Lectureship Seminar with Amy Herring, ScD
A reception will follow the seminar for all registered attendees. The reception will be open until 7:00 PM in the Rackham Graduate School Assembly Hall.
TITLE: A Little Goes a Long Way: Why Things That Are Unseen Are More Important Than Ever
ABSTRACT: Missing data is a mature subfield of statistics due in large part to the defining contributions of Michigan’s own Professor Little. It has also aged very well, and the demand and need for principled solutions has never been greater. We will contemplate “things that are unseen” in a wide variety of contexts and consider the detailed example of the search for endotypes of sepsis, a life-threatening medical condition with high mortality worldwide.
About Dr. Herring: Amy H. Herring is Sara & Charles Ayres Distinguished Professor of Statistical Science, Global Health, and Biostatistics and Bioinformatics 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, Bayesian methods, latent class and latent variable models, missing data, complex environmental mixtures, 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 Chair of the American Statistical Association's Section on Bayesian Statistical Science, as President of the International Society for Bayesian Analysis, and as a member of the Board of the International Biometric Society.
TITLE: A Little Goes a Long Way: Why Things That Are Unseen Are More Important Than Ever
ABSTRACT: Missing data is a mature subfield of statistics due in large part to the defining contributions of Michigan’s own Professor Little. It has also aged very well, and the demand and need for principled solutions has never been greater. We will contemplate “things that are unseen” in a wide variety of contexts and consider the detailed example of the search for endotypes of sepsis, a life-threatening medical condition with high mortality worldwide.
About Dr. Herring: Amy H. Herring is Sara & Charles Ayres Distinguished Professor of Statistical Science, Global Health, and Biostatistics and Bioinformatics 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, Bayesian methods, latent class and latent variable models, missing data, complex environmental mixtures, 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 Chair of the American Statistical Association's Section on Bayesian Statistical Science, as President of the International Society for Bayesian Analysis, and as a member of the Board of the International Biometric Society.
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