The Clinical Impact of Genomics in the Pediatric Oncology
Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United StatesDFCI Genomics Meetup Katherine Janeway, MD Pediatric Oncology Dana-Farber Cancer Institute Pizza is provided.
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Alternatives to Hazard Ratio for Quantifying Treatment Effect on Time-to-Event Outcomes
Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United StatesData Science Training Session Hajime Uno Assistant Professor, Department of Data Science Dana-Farber Cancer Institute
Introduction to single cell RNA-seq data analysis for statisticians
Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United StatesData Science Training Session Kelly Street, Research Fellow Etai Jacob, Research Fellow In this short course, we will introduce some of the most widely used tools for single cell analysis. We will describe common experimental methods utilized in the community to generate single cell RNA-seq data and demonstrate modern pre-processing and analysis pipelines. In addition, […]
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 The importance and challenges of testing for COVID-19 Natalie Dean, Department of Biostatistics, University of Florida How we evaluate the efficacy of potential therapies and […]
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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 a model by maximizing the partial likelihood. This has been combined with non-parametric and high dimensional techniques, eg. spline expansions and penalties, to flexibly build […]
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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. With the advent of increasingly sophisticated sensing devices (e.g., GPS) and phone-based EMA, it is becoming possible to deliver interventions at moments when they can […]
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. 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 […]
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 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 […]
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: Data-driven Movement Monitoring During the Pandemic
A conversation with Caroline Buckee, Associate Professor of Epidemiology, Harvard TH Chan School of Public Health Moderator: Rafael Irizarry A recording of the talk is available on our YouTube channel.
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 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.
Data Science Zoominar: Data Visualization Literacy: Avoiding common mistakes and recognizing deceitful practices
Wednesday September 2, 2020 1:00PM ET A conversation with Alberto Cairo Knight Chair in Visual Journalism at the School of Communication of the University of Miami Moderator: Rafael Irizarry A recording of the talk is available on our YouTube channel.
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
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 the events planned for 2020! Here’s what we wrote. The topic of this year's Marvin Zelen Symposium has to do with the […]
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 […]
Data Science Zoominar: Data Science and Academic Leadership
Tuesday October 20, 2020 1:00PM ET Data Science and Academic Leadership A conversation with F. DuBois Bowman, PhD Dean of the University of Michigan School of Public Health Moderator: Rafael Irizarry Video available on our YouTube Channel.
Data Science Zoominar: Election Forecasting: How We Succeeded Brilliantly, Failed Miserably, or Landed Somewhere in Between
Tuesday November 10, 2020 1:00PM ET Election Forecasting: How We Succeeded Brilliantly, Failed Miserably, or Landed Somewhere in Between A conversation with Andrew Gelman, Ph.D. Professor of Statistics and Political Science Columbia University Moderator: Rafael Irizarry RSVP at https://bit.ly/DSNov10
Data Science Zoominar: Communicating Statistical Findings Effectively
Tuesday November 17, 2020 1:00PM ET Communicating Statistical Findings Effectively A conversation with Professor Sir David Spiegelhalter Chair, Winton Centre for Risk and Evidence Communication Centre for Mathematical Sciences Author: The Art of Statistics Moderator: Rafael Irizarry RSVP at https://bit.ly/DSNov17
