Logistic Regression in R for Public Health
Completed by Paola Ines Kwawa Njotcho
June 22, 2021
12 hours (approximately)
Paola Ines Kwawa Njotcho'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: Statistical Modeling
- Category: R (Software)
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Data Preprocessing
- Category: Logistic Regression
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Public Health
- Category: Regression Analysis
- Category: Biostatistics
- Category: Model Evaluation
