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Today
  • January 2020

  • Tue 21
    Tuesday, 21 January 2020 @ 1:00 pm - 2:00 pm EST

    NEJM Statistical Guidelines for Authors: Under the Hood

    Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United States

    Data Sciences Training Session David Harrington, PhD Professor, Department of Data Sciences Dana-Farber Cancer Institute

  • Wed 22
    Wednesday, 22 January 2020 @ 10:00 am - 12:00 pm EST

    Collaborative Grant Writing and Statistical Methods for Grants

    Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United States

    Data Sciences Training Session Rebecca Gelman, PhD Associate Professor, Department of Data Sciences Dana-Farber Cancer Institute

  • February 2020

  • Fri 7
    Friday, 7 February 2020 @ 4:00 pm - 5:00 pm EST

    The Clinical Impact of Genomics in the Pediatric Oncology

    Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United States

    DFCI Genomics Meetup Katherine Janeway, MD Pediatric Oncology Dana-Farber Cancer Institute Pizza is provided.  

  • Wed 19
    Wednesday, 19 February 2020 @ 10:00 am - 12:00 pm EST

    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 States

    Data Science Training Session Hajime Uno Assistant Professor, Department of Data Science Dana-Farber Cancer Institute

  • Wed 26
    kelly street etai jacob image
    Wednesday, 26 February 2020 @ 10:00 am - 12:00 pm EST Recurring

    Introduction to single cell RNA-seq data analysis for statisticians

    Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United States

    Data 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. […]

  • April 2020

  • Thu 2
    Thursday, 2 April 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • Tue 28
    noah simon
    Featured Tuesday, 28 April 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • May 2020

  • Tue 19
    marianne menitcas cropped image
    Featured Tuesday, 19 May 2020 @ 1:00 pm - 2:00 pm EDT

    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. […]

  • Tue 26
    Tuesday, 26 May 2020 @ 1:00 pm - 2:00 pm EDT

    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.

  • June 2020

  • Tue 2
    Tuesday, 2 June 2020 @ 1:00 pm - 2:00 pm EDT

    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.

  • Thu 4
    Thursday, 4 June 2020 @ 1:00 pm - 2:00 pm EDT

    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.

  • Tue 9
    Tuesday, 9 June 2020 @ 1:00 pm - 2:00 pm EDT

    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.

  • Tue 23
    Tuesday, 23 June 2020 @ 1:00 pm - 2:00 pm EDT

    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. […]

  • Tue 30
    Tuesday, 30 June 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • July 2020

  • Tue 7
    Tuesday, 7 July 2020 @ 1:00 pm - 2:00 pm EDT

    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, […]

  • Tue 14
    Mina-headshot
    Tuesday, 14 July 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • Tue 21
    Tuesday, 21 July 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • August 2020

  • Tue 4
    Tuesday, 4 August 2020 @ 1:00 pm - 2:00 pm EDT

    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.

  • Tue 11
    Tuesday, 11 August 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • Wed 26
    Wednesday, 26 August 2020 @ 10:00 am - 12:00 pm EDT

    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. […]

  • September 2020

  • Wed 2
    Wednesday, 2 September 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

  • Tue 15
    Tuesday, 15 September 2020 @ 1:00 pm - 2:00 pm EDT

    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 […]

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