Introduction to Probability and Statistics for Epidemiology

Epidemiologists and clinical researchers gain a strong foundational knowledge of probability and statistical theory. The course emphasizes conceptual understanding, rather than just black-box application, of advanced statistical methods with a focus on medical applications. Students may use either R or SAS statistical software. This course was formerly numbered HRP259.

Topics Include 

• Probability
• Random variables
• Expectation
• Variance
• Probability distributions
• Central limit theorem
• Sampling theory
• Hypothesis testing
• Confidence intervals
• Bayesian analysis
• Descriptive statistics
• Tests for comparing groups
• Regression
• Generalized linear models

You Will Learn

• To think about, look at, and describe data
• To run computer simulations in R or SAS
• To analyze data in R or SAS
• To choose the right statistical test
• To interpret the results from statistical tests