Overview
Data and study design
Exploratory data analysis
Linear Regression
Classification
Foundations of inference
Statistical inference
Inferential modeling
References
Hypothesis testing; p-value and statistical significance; confidence intervals; decision errors; Power
Resources
Download slides
Reading: IMS 11
previous
Logistic regression
next
CI with bootstrapping
