Logistic Regression in R for Public Health
Completed by Leonardo Lenin Rosas Godínez
October 18, 2023
12 hours (approximately)
Leonardo Lenin Rosas Godínez'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: Biostatistics
- Category: Public Health
- Category: Regression Analysis
- Category: Statistical Software
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Descriptive Statistics
- Category: Logistic Regression
- Category: Data Preprocessing
- Category: Statistical Analysis
- Category: R (Software)
