- Statistics
- Logistic Regression
- Model Evaluation
- Statistical Analysis
- Exploratory Data Analysis
- R Programming
- Public Health
- Probability & Statistics
- Data Preprocessing
- Predictive Modeling
- Statistical Modeling
- Descriptive Statistics
Logistic Regression in R for Public Health
Completed by Warren Song
September 28, 2020
12 hours (approximately)
Warren Song'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
