COMPLETE SURVIVAL ANALYSIS tutorial in R KaplanMeier Cox regression Forest Plots

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=XrvCCFQRCZE

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... • -------------------------------------------------------------------------------------------------------------------- • Watched it already? • If you liked this video or found it useful, please let me know! Your comments and feedback are very much appreciated😊 • If you have questions, don't hesitate to leave me a comment down below, I will answer as soon as I can:) • If you like my content and would like to support me (in a more capitalistic manner), you might consider buying me a coffee. • https://www.buymeacoffee.com/biostats... • Big thanks for your support! • -------------------------------------------------------------------------------------------------------------------- • Are you into biostatistics and computational analysis? • For more biostatistics tools and resources, you can visit: • https://biostatsquid.com/ • Follow me on Instagram at @biostatsquid for more • • 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! • Don’t forget to subscribe if you don’t want to miss another video from me! -------------------------------------------------------------------------------------------------------------------- • 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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