BST 290 Seminars
Winter 2017, BST 290
Tue, Feb 14, 12:00pm
|Charles B. Hall||Albert Einstein College of Medicine||
“Incidence and latency of aerodigestive conditions and cancers in World Trade Center rescue/recovery workers -- methods and outcomes”
This Winter quarter, the Biostatistics Graduate Group is holding its seminar series on TUESDAYS at 12:10pm. They will take place in Math Sciences Building (MSB) 1147. This quarter the BST 290 series is starting a different format, with more focus on student presentation and discussion, mixed with faculty presentation and invited speakers.
The BST 290 seminar organizers are Diana Miglioretti and Dan Tancredi. To register for BST 290 please use the CRN 15846. You may register for 1 unit; registering for 2 units requires authorization from the instructors.
The syllabus for Winter 2017 is as follows:
Instructors: Diana Miglioretti and Daniel Tancredi
Time: Tuesdays 12:10-1:00pm from January 10 to March 14, 2017
Location: MSB 1147 (Colloquium room)
Description: BST 290 is a seminar series intended to introduce biostatistics graduate students to a diversity of current research topics and applications of biostatistics. During this course, students will gain experience presenting and discussing methodological research in biostatistics and will also learn how to critically appraise the scientific and technical merit of published studies in research areas where statistical methods are applied. This lunch-time seminar will offer an informal setting for biostatistics graduate students to discuss topics of importance to them with one another and with other statistical and subject-matter experts, and thus gain practical experience and confidence with the communication formats commonly encountered by biostatisticians practicing in contemporary, research-intensive, multi-disciplinary settings.
Student responsibilities: To receive credit, students must attend and actively participate in at least 80% of sessions and lead or co-lead at least one of the sessions. Attendance is recorded by signing the roster. Session leaders and co-leaders will be identified when sessions are scheduled, but student-requested modifications to the session leadership team (e.g. to account for substantial contributions to the preparation of a session by a student not previously identified as a session (co-leader) may be requested by students for consideration by the instructors. Doctoral students are strongly encouraged to present on their own dissertation research or GSR research, in order to take advantage of the constructive and supportive advice that we aim to foster in this seminar.
- Two research presentations will be given by faculty members or invited speakers, organized by the faculty instructors with input of the students, as appropriate.
- Potential topics for student-led sessions include:
- Brief (5-10 min) presentations by GGB faculty summarizing their research interests.
- Student research presentations, for which one or two students present on their research projects (either dissertation or GSR research). These may be practice talks conducted prior to presenting at professional conferences or qualifying exams or less formal presentations to exchange ideas or discuss statistical challenges during their research or data analysis. We encourage doctoral students to present at least once per year.
- Review of a journal article on current areas of biostatistics research. This is meant to provide a broad spectrum of potential research topics and perspectives.
- Discussion on how to choose an advisor or dissertation topic.
- Cultural or political topics involving statistics, including the misuse of statistics in scientific research and controversial research in medicine, climate science, global health, etc.
- Ethical/moral issues that biostatisticians face.
- What makes a good biostatistician?
- Possible career paths: academia, government, industry, etc.
- Other topics of interest to GGB students, to be identified at first session.
If you wish to be added to the Statistics and Biostatistics seminar e-mail list, please contact Pete Scully (email@example.com).