Logistic Regression in R for Public Health
Completed by Juan Diego Hernández Lalinde
July 22, 2020
12 hours (approximately)
Juan Diego Hernández Lalinde'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: Descriptive Statistics
- Category: Statistical Modeling
- Category: Predictive Analytics
- Category: R Programming
- Category: Statistical Methods
- Category: Regression Analysis
- Category: Logistic Regression
- Category: Exploratory Data Analysis
- Category: Predictive Modeling
- Category: Statistical Software
- Category: Statistical Analysis
- Category: Public Health
