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Survival analysis using R: labs/practical sessions/tutorials

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.

Labs
Estimation
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Inference
Cox PH model (1)
Sample size and Power
Cox PH model (2)
Online Tutorials
Notes (Diez, 2013)
Notes (Fox, 2008)
Notes (Alessio Crippa)
YouTubeTutorials
Survival Analysis in R
(host: Ryan Womack)
Kaplan-Meier survival curve analysis
(host: Phil Chan)
Survival Analysis in R (host: Ani Katchova)
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