Logistic Regression in R for Public Health
Completed by Mary Grace Asuncion Dancel
May 11, 2020
12 hours (approximately)
Mary Grace Asuncion Dancel'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: R (Software)
- Category: Statistical Methods
- Category: Data Preprocessing
- Category: Regression Analysis
- Category: Statistical Analysis
- Category: Probability & Statistics
- Category: Descriptive Statistics
- Category: Logistic Regression
- Category: Public Health
- Category: Predictive Modeling
- Category: Biostatistics
