Logistic Regression in R for Public Health
Completed by Mackenzie H. Tucker
August 7, 2024
12 hours (approximately)
Mackenzie H. Tucker's account is verified. Coursera certifies their successful completion of Logistic Regression in R for Public Health
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: R Programming
- Category: Probability & Statistics
- Category: Predictive Modeling
- Category: Statistical Methods
- Category: Data Preprocessing
- Category: Statistical Analysis
- Category: Regression Analysis
- Category: Descriptive Statistics
- Category: Predictive Analytics
- Category: R (Software)
- Category: Public Health
