4 August 2016

Survival analysis (in R)

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Course description 

This course is dedicated to medical doctors, medical students, CRO’s and all those of you who want to apply statistical methods for medical survival data. This is a specific kind of data for which we track a time to specific event, usually a death, occurrence of disease progression, such as metastases, etc. Since it contains the examples in R some knowledge of R some introduction to R is provided. Come and find out why you cannot survive without survival analysis in your research!

  • Course content:
  • What is R? (short introduction to R: reading the data, simple data manipulation, graphics)
  • Visualising data methods
  • Life-time tables
  • Kaplan-Meier survival curves
  • Regression Cox models
  • Parametric survival models
  • Non-parametric methods
  • Competing-risk models

 

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