Introduction to Probability and Statistics for Epidemiology

About This Course

This course provides epidemiologists and clinical researchers with a strong foundation in probability and statistical theory. Emphasizing conceptual understanding over a ‘black box’ approach, it equips students with the analytical tools necessary to master advanced statistical methods.

Course Syllabus

• Descriptive statistics and looking at data
• Review of study designs; measures of disease risk and association
• Probability, Bayes’ Rule, Diagnostic Testing
• Probability distributions
• Statistical inference (confidence intervals and hypothesis testing)
• P-value pitfalls; types I and type II error; statistical power; overview of statistical tests
• Tests for comparing groups (unadjusted); introduction to survival analysis
• Regression analysis; linear correlation and regression
• Logistic regression and Cox regression