Survival analysis using R

This course in survival analysis (also known as the analysis of event-time data) introduces the main ideas in non-parametric and semi-parametric regression for censored event-time data. Background theory is covered as well, but the emphasis is on applications. The course was developed by David Harrington and the materials are organized into both standard lectures and interactive lab sessions. All computation are done using R. Lectures and labs will include both output and code; datasets are a part of  an R package. The course is an open source course, all course materials (slides, labs, R programs and Tex files) are available online.

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Since these lectures were originally designed for an introductory course of 5 3-hour lectures with accompanying 2-hour labs, the course covers only nonparametric methods for estimation and testing for right-censored data, and the use of the proportional hazards regression model.

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Course developer:

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• Email: davidharrington@g.harvard.edu

• Website: https://statistics.fas.harvard.edu/people/david-p-harrington

General information about the course

 

Course materials include:

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• Slides for 6 classes (in both PDF and RMD formats).

• Labs (practical sessions) and online tutorials which cover the topics presented in the course.

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As a student in the course, you can use the slides and labs:

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• Click on the button Topics. This will take you to a page with 6 chapters that cover all topics in the course. Each chapter has its own slides presentation.

• For labs (practical sessions) and online tutorials clink on the button Labs&Tutorials.

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As a teacher of the the course, you can use both PDF and Rmd files for the slides and labs:

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• You can also modify the Rmd files and created your own version of the course.