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: 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

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 research. Participating faculty include:  Rafael Irizarry, PhD, Professor and Department Chair X. Shirley Liu, PhD, Professor Giovanni Parmigiani, PhD, Professor Franziska Michor, PhD, Professor Lorenzo […]

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 Biostatistics, Harvard University Probabilistic gene barcodes identify cell-types in single-cell RNA-sequencing data Shannan Ho Sui, Senior Research Scientist, Harvard T.H. Chan School of Public Health […]

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 Rico Co-founder of ABRE Puerto Rico Moderator: Rafael Irizarry RSVP at https://bit.ly/DSDec15

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 Abstract: Bias sampling mechanisms are commonly encountered in applications where the subjects in a target population are not given an equal chance to be selected, […]

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 Mathematics, University of Colorado-Boulder Moderator: Rafael Irizarry RSVP at https://bit.ly/DSJan26 YouTube Link: https://www.youtube.com/watch?v=fJuHNNP8TLg

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 group sequential trials with a potentially delayed effects. Logrank, weighted logrank tests and combination tests are of primary interest, but we also consider restricted mean […]

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 Other Healthcare Datasets Abstract: The growth of availability and variety of healthcare data sources has provided unique opportunities for data integration and evidence synthesis, which […]