Winter 2019, BST 290
Public Seminars: Tuesdays, 12:10pm, MSB 1147
Lin: Analysis of Arabidopsis Root Traits Using Bayesian Sparse Factor Mixed Model
Sun: Smartphone Technology for Enhancing Early Psychosis Treatment
|Shizhe Chen, PhD||UC Davis||Online Experiment Design for Mapping Large-scale Neural Circuits|
Heejung Bang, PhD
Jeff Hoch, PhD
|UC Davis||Cost & Cost-Effectiveness Analysis in 2019: From Statistician's and Health Economist's Perspective|
|January 29th||Mi-Ok Kim, PhD||UCSF||Propensity Score Matching for Clustered Data|
Bryan Shephard, PhD
|Vanderbilt University||Correcting for Errors in Variables Derived from Electronic Health Records Using Validation Sampling and Multiple Imputation|
Gerald Quon, PhD
|UC Davis||Deep Learning for Single Cell Genomics|
|February 19th||Denneal Jamison-McClung, PhD||UC Davis||Introduce DEB (DESIGNATED EMPHASIS IN BIOTECHNOLOGY) Program|
|February 26th||Diana Miglioretti, PhD||UC Davis||Risk-Stratified Breast Cancer Screening|
|March 5th||Manju John, PhD||Northwell Health||Nonparametrically Estimating Dynamic Bivariate Correlation Using Visibility Graph Algorithm|
|March 12th||Jeffrey Blume, PhD||Vanderbilt University||
An Introduction to Second-Generation P-Values: Leveraging science to Improve Statistics
LOCATION: Gladys Valley Hall 1047
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.
The BST 290 seminar organizers are Diana Miglioretti and Shuai Chen. To register for BST 290 please use the CRN 25948. You may register for 1 unit; registering for 2 units requires authorization from the instructors.
The syllabus for Winter 2019 is as follows:
Instructors: Diana Miglioretti and Shuai Chen
Time: Tuesdays 12:10-1:00pm from January 8 to March 12, 2019
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 session, students will hear faculty present on current topics and methodological research in biostatistics.
Student responsibilities: To receive credit, students must attend and actively participate in all sessions. Attendance is recorded by signing the roster. If a student must miss a session due to health or other unavoidable reasons, s/he should contact the instructors for a way to make up the missed session. Out of respect for the speakers, students should not be working on their laptops or other electronic devices during the sessions, except to take notes or to check facts pertinent to the presentation.
- 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 Sarah Driver (firstname.lastname@example.org)