Current Seminars

Winter 2019, BST 290

Public Seminars: Tuesdays, 12:10pm, MSB 1147

Date Speaker Institution Title

January 8th

Wei-Kuang Lin

Shuai Sun

UC Davis

Lin: Analysis of Arabidopsis Root Traits Using Bayesian Sparse Factor Mixed Model

Sun: Smartphone Technology for Enhancing Early Psychosis Treatment

January 15th

Shizhe Chen, PhD UC Davis Online Experiment Design for Mapping Large-scale Neural Circuits
January 22nd

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

February 5th

Bryan Shephard, PhD

Vanderbilt University Correcting for Errors in Variables Derived from Electronic Health Records Using Validation Sampling and Multiple Imputation

February 12th

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.

Syllabus

The syllabus for Winter 2019 is as follows:

Instructors: Diana Miglioretti and Shuai Chen

Instructors’ emails: dmiglioretti@ucdavis.edu and shschen@ucdavis.edu

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.

Sample sessions:

  • 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 Cristeta Rillera (cmrillera@ucdavis.edu)