Logistic Regression in R for Public Health
Completed by Bradley Max Segal
October 12, 2019
12 hours (approximately)
Bradley Max Segal'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: Predictive Analytics
- Category: Data Preprocessing
- Category: Exploratory Data Analysis
- Category: R (Software)
- Category: Statistical Modeling
- Category: Biostatistics
- Category: Model Evaluation
- Category: Statistical Software
- Category: Statistical Analysis
- Category: Regression Analysis
- Category: Statistical Methods
- Category: R Programming
