Survival analysis using R
>eR-BioStat
This course is focused on survival analysis methods and their application for data analysis using R. We cover the following topics:
-
Introduction and background
-
Non-parametric estimation of a survival distribution
-
Significance tests with censored data
-
Proportional hazards regression: basics
-
Proportional hazards regression: special topics
-
Designing a survival study
The course was developed as a master level course.
This is an open source course and the source files that were used to produce the slides (Rmd + R program) are available online.
About
General information about the course and course materials and the study methods used in the course.
Topics
In this page, the course is presented in a typical slides format. The course consists of 6 chapters for which the slides are available online and can be downloaded for free. All examples are implemented in R.
Practical sessions
In this page, the practical sessions of the course (labs) are available and their solutions in PDF and Rmd formats. The R code for the solution is available as a part of the Rmd file.
The >eR-BioStat initiative
This course was developed as a part of the >eR-BioStat initiative. More courses can be found in https://erbiostat.wixsite.com/erbiostat.
Follow us on FACEBOOK and Twitter:
Course developer: Dave Harrington.
Website developer: Ziv Shkedy.
Email: ziv.shkedy@uhasselt.be
