Main content blocks
Section outline
-
This class covers an introduction of the regression when the dependent variable is binary. Concepts and
assumptions will be discussed.
Learning objectives for this session
After completing this class the student will:
• understand the circumstances in which you would use logistic regression
• be able to perform logistic regression for dichotomous dependent variables.
• be able to fit a binary logistic regression model to data using Stata
• Interpret the output of a binary logistic regression model
Lecture Topics
- Logistic Regression model
- Analysis and interpretation
Readings:
• Chapter 11: Wayne W. Daniel. Biostatistics: A Foundation for Analysis in the Health Sciences.
9th edition 2009. Atlanta, Georgia : Wiley & Sons, Inc
Background Colour
Font Face
Font Kerning
Font Size
Image Visibility
Letter Spacing
Line Height
Link Highlight
Text Alignment
Text Colour