Summer Institute 2019
The Department of Public Health Sciences is excited to offer its annual Summer Institute courses. Workshops will introduce current quantitative methods used in key ares of public health, population health and biomedical and clinical research and offer hands on experience with implementing these methods.
Analysis of Zero Inflated Count and Semi-continuous Data
Fundamentals of Epidemiology: Population-Based Study Design & Analysis
Programming in R
Longitudinal and Multilevel Data Analysis
Developing Your Clinical Trial Toolbox
Introduction to Deep Learning Neural Networks with Applications in Bioinformatics
Course descriptions and instructor information can be
found in the full Summer Institute Brochure (PDF).
Registration Deadline is April 1, 2019.
Summer Institute 2019 Brochure (PDF):
Full description of courses and instructors.
Summer Institute 2019 Flyer (PDF):
Please feel free to share with your institution or listserv.
For more information about the Summer Institute contact June Watson at firstname.lastname@example.org.