Survival analysis using R

Labs, online tutorials and YouTube tutorials

This page contains the practical sessions of the course and it consists of three types of materails:

Labs:

Five labs with exercises (PDF) about the topics covered in the course and their solutions (PDF and Rmd). Topics that are covered in the lads include:

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• Estimation.

• Inference.

• CoxPH models.

• Power and sample size calculation.

Online tutorials:

Three tutorials (PDF and HTML) in notes format which give details about survival analysis using R. The R code is a part of the documents available for this part.

Videos:

Three YouTube tutorials which cover different topics in survival analysis in R.  The first YouTube tutorial, Survival Analysis in R by Ryan Womack, consists of 7 videos which cover the following topics:

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• Introduction.

• Exploring data.

• Survival objects, Kaplan-Meier curves. 

• Fitting distributions to data.

• Confidence Intervals and Differential Plots.

• Cox Proportional Hazards Model and Residuals.

• Accelerated Failure Time (AFT) Model.
   

Note that the last topic is not covered in the course’s slides.