Logistic Regression in R for Public Health
Completed by Michelangelo Rizzi
January 27, 2026
12 hours (approximately)
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What you will learn
Describe a data set from scratch using descriptive statistics and simple graphical methods as a first step for advanced analysis using R software
Interpret the output from your analysis and appraise the role of chance and bias as potential explanations
Run multiple logistic regression analysis in R and interpret the output
Evaluate the model assumptions for multiple logistic regression in R
Skills you will gain
- Category: Logistic Regression
- Category: Data Preprocessing
- Category: Statistical Modeling
- Category: R (Software)
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Biostatistics
- Category: Model Evaluation
- Category: Statistical Software
- Category: Public Health
- Category: Descriptive Statistics
- Category: Probability & Statistics
