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
Course Page
Price
$4,368.00
Subject to change
Delivery
Online, instructor-led
Level
Introductory
Commitment
10 weeks, 9-15 hrs/week
Credit
Epidemiology and Clinical Research Graduate Certificate
School
Stanford School of Medicine
Language
English