COMPLETE SURVIVAL ANALYSIS tutorial in R: Kaplan-Meier, Cox regression, Forest Plots...

Описание к видео COMPLETE SURVIVAL ANALYSIS tutorial in R: Kaplan-Meier, Cox regression, Forest Plots...

In this tutorial, I will explain how to perform survival analysis in R, including log rank test, Cox regression, Kaplan-Meier curves, and more! We will use the R packages ggsurvplot, survminer and survival. You will learn how to:
plot a Kaplan Meier curve
test for differences between groups using the log rank test
build a survival model with Cox regression
and visualise your results with a forest plot.

And as always, you can find the code I am using in this tutorial at biostatsquid.com, where you can also find a step by step explanation of the code. For this tutorial you will need R, or Rstudio, and you will need to install the package listed above.
Hope you like it!

https://biostatsquid.com/easy-surviva...
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Are you into biostatistics and computational analysis?
For more biostatistics tools and resources, you can visit:
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• simple and clear explanations of biostatistics methods
• computational biology tools
• easy step-by-step tutorials in R and Python
to analyse and visualise your biological data!

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Other interesting resources for survival analysis:
Easy R tutorial: http://www.sthda.com/english/wiki/sur...
More on survival curves: https://www.ibm.com/docs/en/spss-stat...

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