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Seminars & Working Groups

The Department of Biostatistics has weekly seminars on Wednesdays at 1:30. Students are required to attend Biostatistics seminars and the discussion session that immediately follows the seminar. The discussion session is lead by a faculty member and is intended to be an open forum where students can ask questions and frankly discuss the seminar. The seminar schedule can be found:

The Department of Biostatistics offers free statistics clinics at noon every day. Clinics offer an open forum for investigators who need statistical advice about planning or analyzing a study, or who would like to discuss a particular statistical method. Students are required to attend and participant in at least 12 Biostatistics clinics each year. Details on the Biostatistics clinics can be found:

The goal of the summer ‘chalk-talk’ series is to expose students to faculty research and generate thoughtful discussion outside a structured learning environment. Faculty prepare a short overview of their area of expertise and stimulate discussion regarding potential avenues of research. Four to six sessions are held each year.

Every summer the book club chooses a book to work through, as a group, over the course of 8 to 10 weeks. Past books include Efron’s Large Scale Inference (in 2013), van Buuren’s Flexible Imputation of Missing Data (in 2014) , and Davidson & Hinkley’s Bootstrap Methods and their Applications (in 2015).

The student run Journal club meets every other Wednesday to discuss interesting articles and topics of interest. Third year and above students are required to present and attend.

The statistical computing series is a weekly gathering for learning various aspects of modern statistical computing from practitioners in the Department of Biostatistics. Details can be found:

This short course covers basic concepts and tools, including program design, version control, data management, and task automation. It is offered in the summer. Details can be found:

“Teaching.Writing.Learning” – series of monthly lunchtime conversations.

“Open access data repository of clinical trial data”