Introduction to Probability and Statistics for Epidemiology

HRP259

Stanford School of Engineering


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Description

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.

Instructor(s)

Prerequisites

None
 

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 How to

  • Think about, look at, and describe data
  • Run computer simulations in R or SAS
  • Analyze data in R or SAS
  • Choose the right statistical test
  • Interpret the results from statistical tests

Note on Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.