- Epidemiology
- Data Analysis
- Regression
- Run and interpret Kaplan-Meier curves in R
- Probability & Statistics
- Understand common ways to choose what predictors go into a regression model
- General Statistics
- Statistical Programming
- Construct a Cox regression model in R
Survival Analysis in R for Public Health
Completed by Maruf Ahmed Bhuiyan
April 23, 2020
11 hours (approximately)
Maruf Ahmed Bhuiyan '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
