Logistic Regression in R for Public Health
Completed by Hernan Alberto Ortiz Ramirez
June 30, 2024
12 hours (approximately)
Hernan Alberto Ortiz Ramirez'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: Data Preprocessing
- Category: R (Software)
- Category: Statistical Modeling
- Category: Predictive Analytics
- Category: Statistical Analysis
- Category: Descriptive Statistics
- Category: Logistic Regression
- Category: Public Health
- Category: Regression Analysis
- Category: R Programming
- Category: Probability & Statistics
- Category: Statistical Methods
