Survival Analysis in R for Public Health and Psychologists
What You'll 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
Course Sections and Titles
1.
The Kaplan–Meier Plot
2.
Welcome to Course
3.
What is Survival Analysis?
4.
The KM Plot and Log-Rank Test
5.
What is Heart Failure and How to Run a KM Plot in R
6.
Data Set and Glossary
7.
Additional Readings
8.
Life Tables
9.
Feedback: Life Tables
10.
The Course Data Set
11.
Feedback: Running a KM Plot and Log-Rank Test
12.
Practice in R: Run Another KM Plot and Log-Rank Test
13.
Feedback: Running Another KM Plot and Log-Rank Test
14.
The Cox Model
15.
Intro to Cox Model
16.
How to Run Simple Cox Model in R
17.
Introduction to Missing Data
18.
Hazard Function and Risk Set
19.
Practice in R: Simple Cox Model
20.
Feedback: Simple Cox Model
21.
The Multiple Cox Model
22.
The Proportionality Assumption