STATS 245: Data, Models and Applications to Healthcare Analytics
Topics on fundamentals of data science, biological and statistical models, application to medical product safety evaluation, health risk models and their evaluation, benefit-risk assessment and multi-criteria decision analytics. Applications to environmental health, nutritional epidemiology, wellness and prevention will also be discussed. Prerequisite: Graduate students -
STATS 202 or 216, or
CS 229; Undergraduate students - consent of instructor.
Last offered: Summer 2019
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