Survival Analysis in R for Public Health
Completed by Bradley Max Segal
October 14, 2019
11 hours (approximately)
Bradley Max Segal's account is verified. Coursera certifies their successful completion of Survival Analysis in R for Public Health
What you will learn
Run Kaplan-Meier plots and Cox regression in R and interpret the output
Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis
Describe and compare some common ways to choose a multiple regression model
Skills you will gain
- Category: Public Health
- Category: Statistical Software
- Category: Statistical Methods
- Category: R (Software)
- Category: Statistical Analysis
- Category: Descriptive Statistics
- Category: Statistical Modeling
- Category: R Programming
- Category: Data Wrangling
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Data Analysis
