After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Do patients taking the new drug survive longer than others? How fast do people get a new job after getting unemployed? What can I do to make my friends stay on the dancefloor at my party? All these questions require the analysis of time-to-event data, for which we use special statistical methods. This course introduces basic concepts of time-to-event data analysis, also called survival analysis. Learn how to deal with time-to-event data and how to compute, visualize and interpret survivor curves as well as Weibull and Cox models.
Prerequisites
Curriculum
Course outline
1
What is Survival Analysis?
In the first chapter, we introduce the concept of survival analysis, explain the importance of this topic, and provide a quick introduction to the theory behind survival curves. We discuss why special methods are needed when dealing with time-to-event data and introduce the concept of censoring. We also discuss how we describe the distribution of the elapsed time until an event.
- The term "survival analysis"50 XP
- Introducing the GBSG2 dataset100 XP
- What will this course cover?50 XP
- Why learn survival methods?50 XP
- Digging into the GBSG2 dataset 1100 XP
- Using the Surv() function for GBSG2100 XP
- The UnempDur dataset100 XP
- Measures used in survival analysis50 XP
- Interpreting a survival curve I50 XP
- Interpreting a survival curve II50 XP
- Interpreting a survival curve III50 XP
2
Estimation of survival curves
In this chapter, we will look into different methods of estimating survival curves. We will discuss the Kaplan-Meier estimate and the Weibull model as tools for survival curve estimation and learn how to communicate those results through visualization.
3
The Weibull model
In this chapter, we will learn how to estimate and visualize a Weibull model to learn about the effects of covariates on the time-to-event outcome.
4
The Cox Model
In the last chapter, we learn how to compute and interpret Cox models to understand why they are useful and how they differ from Weibull models.
R
Survival Analysis in R
Course
Complete
