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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, Of Statistics And Of Biomedical Data Science, Stanford University Moderator: Rafael Irizarry We are pleased to announce a new weekly Zoominar for Data Science. Rather […]

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 a new weekly Zoominar for Data Science. Rather than a traditional seminar format, Rafael Irizarry will moderate a Q&A with invited speakers on various topics […]

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 than a traditional seminar format, Rafael Irizarry will moderate a Q&A with invited speakers on various topics in data science. Join us for these interactive […]

Data Science Zoominar: Increasing Diversity in Data Science

A conversation with Emma Benn, DrPh Associate Professor, Center for Biostatistics and Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai Moderator: Rafael Irizarry RSVP at https://bit.ly/DSAugust11 A recording of the talk is available on our YouTube channel.

Training Sessions: InForm

Wednesday August 26 from 10:00am to 12:00PM Danny Quinn will demonstrate extracting DF/HCC clinical trials data from InForm (which is the electronic data capture system (eDC)) into SAS data sets. There will also be a discussion on the attributes of the data sets and various utilities which support the extraction process.

A New Hybrid Phase I-II-III Clinical Trial Paradigm

Frontiers in Biostatistics Seminar Tuesday September 15, 2020 at 1:00PM Eastern Time Peter F. Thall, PhD Department of Biostatistics University of Texas M.D. Anderson Cancer Center Abstract: Conventional evaluation of a new drug, 𝐴, is done in three phases. Phase I relies on toxicity to determine a “maximum tolerable dose” (MTD) of 𝐴, in phase […]

Cancer Development, Heterogeneity and Dynamics from Premalignancy to Drug Refractory Disease

Data Science Seminar September 22, 2020 2:00PM ET Ignaty Leshchiner, PhD Postdoctoral Fellow, Harvard Medical School/Brigham and Women's Hospital Zoom link: http://bit.ly/DSSept22 Abstract: Real-time study of tumor emergence and progression in patients will help predict and ultimately change the course of the patient's disease. This could be achieved by inferring genotypes of heterogeneous cell populations within […]

3D Spatial Organization Within Tumors

Data Science Seminar September 29, 2020 1:00PM ET Martin Aryee, PhD Assistant Professor of Pathology, Harvard Medical School Assistant Molecular Pathologist, Massachusetts General Hospital Zoom link: https://dfci.zoom.us/j/95524743149?pwd=SzN4cjJZUnhsNVl3dXNmZjZ1N3F4QT09 Abstract: The spatial organization of biological systems can impart additional functionality beyond that of the individual components. This is true at a range of scales – from cells […]

Marvin Zelen Symposium 2020

This event will now be virtual. Click here to complete registration by September 29.  2020 Marvin Zelen Symposium (updated 9/30/20 at 7:20am) In December of 2019, we planned the next Marvin Zelen Symposium for March of 2020. At that point, the year ahead seemed to be a data spectacle waiting to happen. Think about all […]

Constructing Confidence Interval for RMST under Group Sequential Setting

Frontiers in Biostatistics Seminar October 13, 2020 1:00PM Lu Tian, PhD Associate Professor of Biomedical Data Science in the School of Medicine Stanford University It is appealing to compared survival distributions based on restricted mean survival time (RMST), since it generates a clinically interpretable summary of the treatment effect, which can be estimated nonparametrically without […]

Computational Biology of DNA Repair in Cancer

Data Science Seminar October 15, 2020 1:00PM ET Dominik Glodzik, PhD Repare Therapeutics Zoom link: https://bit.ly/DSOct15 Abstract: Whole genome sequences contain within them signatures of mutational processes. In particular, some of the mutation signatures relate to impaired DNA-repair in cancer cells. Accurate measurement of mutation signatures reveals the role of DNA-repair deficiencies in etiology and […]