COVID-19 Data Science Zoomposium
Caroline Buckee, Department of Biostatistics Harvard TH Chan School of Public Health How do we predict the pandemic? Michael Mina, Department of Epidemiology Harvard TH Chan School of Public Health […]
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Reframing proportional-hazards modeling for large time-to-event datasets with applications to deep learning
Frontiers in Biostatistics Seminar Noah Simon, Ph.D. Associate Professor Department of Biostatistics University of Washington To build inferential or predictive survival models, it is common to assume proportionality of hazards and fit […]
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Streamlined empirical Bayes estimation for contextual bandits with applications in mobile health
Frontiers in Biostatistics Webinar Marianne Menictas Postdoctoral Fellow, Department of Statistics Harvard University Mobile health (mHealth) technologies are increasingly being employed to deliver interventions to users in their natural environments. […]
Data Science Zoominar: Teaching Data Science to the Masses
A conversation with Jeff Leek, PhD, Johns Hopkins University. Moderator: Rafael Irizarry. Registration required. https://dfci.zoom.us/webinar/register/WN_XscX-d21RqylhDCXzvP2-Q A recording of the talk is available on our YouTube channel.
Data Science Zoominar: Update on COVID-Related Trials
A conversation with Natalie Dean, PhD University of Florida Moderator: Rafael Irizarry A recording of the talk is available on our YouTube channel.
Data Science Zoominar: COVID-19 Update
A conversation with Marc Lipsitch, PhD Harvard TH Chan School of Public Health Moderator: Rafael Irizarry Registration required: https://dfci.zoom.us/webinar/register/WN_F_ROPV-RRNyXGoXaoTWFNw A recording of the talk is available on our YouTube channel.
Data Science Zoominar: The Role of Statistical Learning in Applied Statistics
A conversation with Daniela Witten, PhD University of Washington Moderator: Rafael Irizarry Registration required: https://dfci.zoom.us/webinar/register/WN_YvsckwdGSxmTT-GeyLGOOA A recording of the talk is available on our YouTube channel.
Data Science Zoominar: The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
A conversation with Elisabeth Bik, PhD, Microbiome & Science Integrity Consultant, Harbers Bik LLC Moderator: Rafael Irizarry, PhD We are pleased to announce a new weekly Zoominar for Data Science. […]
Data Science Zoominar: Massachusetts Data from the COVID-19 Response
A conversation with Gillian Haney, Director of Infectious Disease Surveillance and Informatics, Massachusetts Department of Public Health and Catherine (Katie) Brown, State Public Health Veterinarian, Massachusetts Department of Public Health […]
Data Science Zoominar: A Debate About the Severity of the COVID-19 Pandemic
A conversation with John P.A. Ioannidis, C. F. Rehnborg Professor In Disease Prevention In The School Of Medicine, Professor Of Medicine, Of Health Research And Policy (Epidemiology) And By Courtesy, […]
Data Science Zoominar: The Latest on COVID-19 Testing: How Can Testing Help Us Reopen?
A conversation with Michael Mina, Assistant Professor Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health Moderator: Rafael Irizarry We are pleased to announce […]
Data Science Zoominar: A Comparison of COVID-19 Prediction Models
A conversation with Nicholas Reich, Associate Professor of Biostatistics, University of Massachusetts Amherst Moderator: Rafael Irizarry https://bit.ly/DSJuly21 We are pleased to announce a new weekly Zoominar for Data Science. Rather […]
