Survival Analysis in R for Public Health

Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in this context. Using the popular and completely free software R, you’ll learn how to take a data set from scratch, impor

• Run Kaplan-Meier plots and Cox regression in R and interpret outputs
• Describe datasets using descriptive statistics and graphical methods
• Describe and compare common multiple regression model selection methods

• Basic statistics knowledge
• Basic R programming skills