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. […]
Loading view.
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 […]
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]
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 […]
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 […]
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: […]
Postdoctoral Open House
The Dana-Farber Cancer Institute Department of Data Science announces our first annual Postdoc Open House. Join us on Monday, December 7th at 1:00PM EST to explore postdoctoral opportunities in cancer […]
Data Science Zoominar: Data Science Books, Online Courses, Podcasts, and Blogs
Tuesday December 8, 2020 1:00PM ET Data Science Books, Online Courses, Podcasts, and Blogs A conversation with Roger Peng, PhD Johns Hopkins Bloomberg School of Public Health Moderator: Rafael Irizarry […]
DF/HCC Cancer Data Science Program &Harvard Chan Bioinformatics CoreJoint Symposium on scRNAseq Methodology
Monday, December 14, 3:00-4:30 PM ET RSVP https://bit.ly/CDSBioDec14 Speakers: Aedin Culhane, Senior Research Scientist, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health Isabella Grabski, PhD Student in […]
Data Science Zoominar: Data-Driven Policy in Puerto Rico
Tuesday December 15, 2020 1:00PM ET Data-Driven Policy in Puerto Rico A conversation with Arnaldo Cruz Director of Research and Policy of the Financial Oversight and Management Board of Puerto […]
Data Science Zoominar: Understanding COVID-19 Vaccine Trial Designs and Current Results
Monday December 21, 2020 2:00PM ET Understanding COVID-19 Vaccine Trial Designs and Current Results A conversation with David Benkeser Assistant Professor, Biostatistics and Bioinformatics Rollins School of Public Health, Emory […]
Frontiers in Biostatistics: Statistical Modeling and Adjustment for Sampling Biases
Frontiers in Biostatistics Seminar January 12, 2021 1:00PM Jing Ning, PhD Associate Professor. Department of Biostatistics Division of Quantitative Sciences The University of Texas M.D. Anderson Cancer Center Register at: https://bit.ly/FIBJan12 […]
Data Science Zoominar: Vaccine Prioritization Strategies
Tuesday January 26, 2021 1:00PM ET A conversation with Daniel Larremore Assistant Professor, Department of Computer Science at University of Colorado-Boulder and BioFrontiers Institute and Kate Bubar Student, Department of Applied […]
Frontiers in Biostatistics: Group Sequential Design Assuming Delayed Benefit
February 9, 2021 1:00PM ET Keaven Anderson, PhD Scientific AVP, Methodology Research, Biostatistics at Merck Group Sequential Design Assuming Delayed Benefit Abstract: We consider an asymptotic approach to design of […]
Data Science Zoominar: Diversity and Ethics in Genomics
Tuesday February 23, 2021 1:00PM Eastern Time A conversation with Keolu Fox, PhD Assistant Professor, Department of Anthropology, University of California, San Diego Moderator: Aedin Culhane YouTube Link: https://www.youtube.com/watch?v=VANlStOnFPY
Frontiers in Biostatistics: Distributed Statistical Learning and Inference in EHR and Other Healthcare Datasets
Frontiers in Biostatistics Seminar March 9, 2021 1:00PM Rui Duan, PhD Assistant Professor of Biostatistics Harvard TH Chan School of Public Health Distributed Statistical Learning and Inference in EHR and […]
Data Science Zoominar: The Importance of Representative Samples in Clinical Trials
Tuesday March 23, 2021 1:00PM Eastern Time A conversation with Timothy Rebbeck Vincent L. Gregory, Jr. Professor of Cancer Prevention, Epidemiology, Harvard T.H. Chan School Of Public Health Professor, Medical […]
Frontiers in Biostatistics: Single-Cell RNA-Seq Data Analysis Via a Regularized Zero-Inflated Mixture Model Framework
Frontiers in Biostatistics Seminar May 11, 2021 1:00PM Jianhua Hu, PhD Professor, Biostatistics (in Medicine and in the Herbert Irving Comprehensive Cancer Center) Director, Cancer Biostatistics Program Columbia University Register […]
Training Session: Efficient Phase I Clinical Trial Design
May 19, 2021 10:00am-12:00PM Eastern Time Fangxin Hong, PhD Senior Research Scientist Department of Data Science, Dana-Farber Cancer Institute Department of Biostatistics, Harvard T.H. Chan School of Public Health […]
Data Science Zoominar: Modeling Cancer Etiology and Evolution, and its Implications for Prevention
Tuesday May 25, 2021 1:00PM ET A conversation with Cristian Tomasetti Associate Professor, Department of Oncology, Johns Hopkins Medicine, Sidney Kimmel Comprehensive Cancer Center Moderator: Giovanni Parmigiani YouTube Video now […]
Frontiers in Biostatistics: The Use of External Control Data for Predictions and Interim Analyses in Clinical Trials
June 8, 2021 1:00PM Lorenzo Trippa, PhD Associate Professor Department of Biostatistics, Harvard T.H. Chan School of Public Health Department of Data Science, Dana-Farber Cancer Institute The Use of External […]
Training Session: Survival Analysis and Competing Risks Data Analysis
June 16, 23, and 30, 2021 10:00am-12:00PM Eastern Time Haesook Kim, PhD Principal Research Scientist Department of Data Science, Dana-Farber Cancer Institute Department of Biostatistics, Harvard T.H. Chan School of […]
Frontiers in Biostatistics: COVID Vaccine Efficacy Trial Designs, Open Questions and Statistical Challenges
Tuesday September 14, 2021 1:00PM Eastern Time Holly Janes, Ph.D. Professor, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center Professor, Public Health Sciences Division, Fred Hutchinson Cancer Research Center […]
Frontiers in Biostatistics: Treatment-free Survival as a Novel Outcome Measure of Immuno-oncology-based Therapy
Tuesday, October 19, 2021 1:00pm Eastern Time Meredith Regan, ScD Associate Professor Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School Treatment-free Survival as a Novel Outcome Measure of […]
Data Science Seminar: Causal Inference Methods for Measures of Health Disparities
Thursday, October 28, 2021 11:00am Eastern Time Tengfei Li Georgetown University Causal Inference Methods for Measures of Health Disparities There is increased interest in the evaluation of health disparities between […]
Postdoc Recruitment Day
The Dana-Farber Cancer Institute Department of Data Science announces its second annual Postdoc Recruitment Day to be held on Wednesday, November 3rd from 1-3pm EST. If you are interested in […]
Frontiers in Biostatistics: A Bayesian Phase I/II Trial Design for Immunotherapy
Tuesday, November 9, 2021 1:00pm Eastern Time Suyu Liu, PhD Associate Professor Department of Biostatistics The University of Texas MD Anderson Cancer Center A Bayesian Phase I/II Trial Design for […]
Frontiers in Biostatistics: Cancer on the Way to Mars
Tuesday, December 7, 2021 1:00pm Eastern Time Giovanni Parmigiani, PhD Professor Harvard T.H. Chan School of Public Health Link to YouTube Video Cancer on the Way to Mars Links: https://www.nap.edu/download/26155 […]
Frontiers in Biostatistics: Studies on COVID-19 and Cancer using National Real-World VA Data
Nathanael Fillmore is the Associate Director for Machine Learning and Advanced Analytics at the VA Boston Healthcare System’s Cooperative Studies Program Informatics Center. He leads a data science team focused […]
2022 DF/HCC Celebration of Early Career Investigators in Cancer Research
January 19 | 2022 | 1-4PM Eastern Time This annual symposium showcases the talent of early career investigators at the Dana-Farber/Harvard Cancer Center who work in population science, including epidemiology, […]
Data Science Seminar: Deciphering Tissue Microenvironment from Next Generation Sequencing Data
Friday February 4, 2022 1:00PM Eastern Time Register. Jian Hu PhD Candidate, Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania ABSTRACT: The advent of high-throughput next-generation sequencing (NGS) technologies […]
Frontiers in Biostatistics: Early Phase Design Considerations for Oncology Drug Development in the Era of Immunotherapy and Targeted Agents
Tuesday, February 8, 2022 1:00pm Eastern Time YouTube Video Elizabeth Garrett-Mayer, PhD, FSCT Vice President Center for Research and Analytics (CENTRA) Dr. Garrett-Mayer joined ASCO in 2017 as CENTRA’s Division […]
Data Science Seminar: End-to-end AI for Screening Mammography
Tuesday February 15, 2022 1:00PM Eastern Time William Lotter, PhD Vice President of Machine Learning, RadNet, Inc. Chief Technology Officer & Co-Founder, DeepHealth, Inc. Register. Screening mammography has been estimated […]
Data Science Seminar: Spatial meshing for general Bayesian multivariate models
Thursday February 24, 2022 1:00PM Eastern Time Michele Peruzzi, PhD Postdoctoral Associate, Department of Statistical Science, Duke University Register. Abstract: In this talk, I will consider the problem of fitting […]
Data Science Seminar: From descriptive to predictive biology via single-cell multiomics
Monday February 28, 2022 1:00PM Eastern Time Genevieve Stein-O'Brien Instructor, Johns Hopkins University, School of Medicine Department of Oncology, Division of Biostatistics and Bioinformatics; Department of Neuroscience; and McKusick-Nathans Department […]
Frontiers in Biostatistics: Considerations for Extracting Real-World Evidence from Real-World Data
Tuesday, March 1, 2022 1:00pm Eastern Time Rebecca A. Hubbard, PhD Professor of Biostatistics University of Pennsylvania Perlman School of Medicine YouTube Video Abstract: Opportunities to use real-world data (RWD), […]
