DFCI Frontiers in Biostatistics w. Lorenzo Trippa – 6/8

Frontiers in Biostatistics: The Use of External Control Data for Predictions and Interim Analyses in Clinical Trials June 8, 2021 @ 1:00pm Eastern Time Lorenzo Trippa, PhD Associate Professor, Dept of Biostatistics, … Continue reading “DFCI Frontiers in Biostatistics w. Lorenzo Trippa – 6/8”

Upcoming Thesis & Dissertation Defenses

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DFCI Postdoc Open House – 12/7

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 … Continue reading “DFCI Postdoc Open House – 12/7”

Last Week’s Successful Dissertation Defenses!

Congratulations  to Dr. Kaitlyn Cook who successfully defended her dissertation “Monitoring and Analysis of Cluster-Randomized Trials with Interval-Censored Endpoints” last week! Advisors: Rui Wang, Eric Tchetgen Tchetgen Dissertation Committee Members: Rui Wang, Eric Tchetgen … Continue reading “Last Week’s Successful Dissertation Defenses!”

Upcoming Dissertation Defenses

**Contact Jelena Follweiler for Zoom info 5/4/2020 at 12:30 pm Lee Kennedy-Shaffer Statistical Methods for the Design and Analysis of Infectious Disease Studies Advisor: Michael Hughes Dissertation Committee Members: Marc Lipsitch (EPI), Victor … Continue reading “Upcoming Dissertation Defenses”

NIGMS Recognizes Reproducible Science Course

For the benefit of the scientific community, and in response to the NIH’s series of initiatives to enhance rigor and reproducibility in research, the National Institute of General Medical Sciences has … Continue reading “NIGMS Recognizes Reproducible Science Course”

Launch of New Reproducible Science MOOC

Congratulations to all involved with the successful launch of the new HarvardX Massive Open Online Course (MOOC) PH527X: Principles, Statistical and Computational Tools for Reproducible Science.  Taught by instructors Curtis Huttenhower, … Continue reading “Launch of New Reproducible Science MOOC”

New Course in Reproducible Research

The Department would like to announce a new course in reproducible research that addresses the increasing need for scientific rigor and transparency in studies of biomedical data. Course content has … Continue reading “New Course in Reproducible Research”