Courses Details
EPID619: Computational Epidemiology: Analyzing Real-world Data
- Graduate level
- Residential
- Fall term(s) for residential students;
- 4 credit hour(s) for residential students;
- Instructor(s): Elizabeth Levin-Sparenberg (Residential);
- Prerequisites: None
- Description: Students will learn practical skills to analyze and interpret epidemiologic data with the use of the statistical software, R. This course will introduce statistical techniques for the analysis of continuous and dichotomous outcome variables through lectures and hands-on exercises.
- Learning Objectives: To apply epidemiologic theory and methods to data analysis 2. To select appropriate biostatistical tools for epidemiologic data analysis 3. To use Rprogramming for epidemiologic data analysis 4. To be able to critically interpret results from epidemiologic studies.
