Advanced Training in Statistical Methods
Live 2-Week Course | April 3 - 14, 2023
The University of Utah, with major funding from the National Institute on Neurological Disorders and Stroke (R25NS117281), is happy to announce this two-week course. The focus of this course is to learn advanced statistical methods applied to neuroimaging and genetics, within the context of biomarker discovery. This is not an introductory course, and will teach advanced topics of Bayesian methods in neuroimaging, network science in neuroimaging, statistical genetics, and multi-modal predictive modeling.
Course attendees are expected to already have experience with aspects of neuroimaging analysis and/or genetics. An innovation to our course is the additional 6-month follow-up, where attendees of the course have the opportunity to meet as a group with each lecturer for a 75-minute webinar-based workshop each month. This will allow course attendees to interact with the course faculty well after the two-week period. Additionally, the course attendees will have access to a slack help-line for questions surrounding implementation of methods.
Dates, Application Process, and Cost
To ensure the highest quality of instruction, the course is limited to approximately 25 attendees each year. Because of the limited size, attendance is by application only. In general, applicants must be a US citizen or permanent resident, though we do have the ability to accommodate 1 to 3 individuals that do not meet this criteria.
University Guest House & Conference Center
110 South Fort Douglas Blvd
Salt Lake City, UT 84113-5036
There are a limited number of need-based travel awards available
The course will be taught April 3 - 15, 2023. It is structured with theoretical lectures that are paired with hands-on computer practical labs and tutorials. Days start at 8:30 am (US Mountain Time) and are expected to be 7 hours (with breaks). Some days have an additional evening guest lectureship.
Topics That Will Be Covered
If you have questions or need additional information, email our team at email@example.com.