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Introduction to Probability and Statistics for Epidemiology
JUNE 22, 2026 — AUGUST 13, 2026
EPI259
Details:
Time: No Topic - No Type
Units: 3
Class Number: 11209
Interest Area: Math and Data Science
Instructor: Kristin Sainani
Population: High School, Undergraduate, Graduate
Interest Area: Math and Data Science
Course Format & Length: Online Synchronous, 8 Weeks
Cross Listing: EPI159 INTRO STATS FOR EPIDEMIOLOGY
Grading Basis: Medical Option (MED-RLT-RCR)
Description:
Topics: random variables, expectation, variance, probability distributions, the central limit theorem, sampling theory, hypothesis testing, confidence intervals. Correlation, regression, analysis of variance, and nonparametric tests. Introduction to least squares and maximum likelihood estimation. Emphasis is on medical applications.
Course notes:
Graduate students (both Stanford students and visiting students) must enroll in EPI 259.
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