Bayesian Statistics for Researchers


Bayesian Statistics: A Paradigm For 21st Century Science

Friday, April 20th, 2018
Check-in 9:30am
Drachman Hall B109 | 10:00 AM - 12:00 PM
COM 3117 (new location) | 1:00 PM - 5:00 PM

This one-day symposium will introduce Bayesian methods to biologists, physicians, and health sciences researchers. The symposium will highlight applications, capabilities, and advantages of the Bayesian paradigm. The symposium will start with a non-technical expository lecture on the Bayesian approach, followed by plenary talks from 3 distinguished scientists and 5 shorter talks from UA faculty, staff and students. Talks will focus on applications rather than statistical theory.

Participants will have the opportunity to interact with speakers and learn from Statistics Laboratory faculty and staff about local resources at UA.


Symposium Schedule


 Morning Session: Drachman B 109


  9:30AM      Check in

  9:45AM      Dean Billheimer (UofA and StatLab): Introductory Remarks

10:00AM      Ed Bedrick (UofA, StatLab): An Introduction to Bayesian Statistics 

10:45AM      John Hughes (independent scholar; formerly U Minnesota): Bayesian   Spatiotemporal Modeling for Detecting Neuronal Activation via Functional Magnetic Resonance Imaging.

11:40AM      Julia Fisher (UofA, StatLab) Variational Bayes for fMRI Data:  Detecting Scattered Signal



LUNCH12PM   -  12:50 Drachman B109 South Patio



Afternoon Session: College of Medicine (COM) 3117 


  1:00PM   Jennifer Barton (UofA, BIO5 Director): Welcoming Remarks

  1:10PM   Wes Johnson (UC Irvine): Gold standards are out and Bayes is in: implementing the cure for imperfect reference tests in diagnostic accuracy studies  

  2:05PM   Dean Billheimer (UofA and StatLab):    How to do BAD: Bayesian Adaptive (Trial) Design


  COFFEE BREAK:  - 2:45 - 3:10  COM 3117


  3:15PM   Erin Ashbeck (UofA Arthritis Center):  Tolerating Cartilage Loss: Predicting Knee Replacement with a Bayesian Discrete Time Survival Model   

  3:35PM   Erin Zylstra (UofA School of Natural Resources and the Environment) Hierarchical models to account for imperfect surveys in wildlife ecology.  

  4:00PM   David Madigan (Columbia University): Honest Inference from Observational Studies


Participation is free but registration is required to receive lunch (RSVP).





Download the PDF flyer here.

 Contact Amy Randall-Barber for questions.