Visualizing Survival Data with the {ggsurvfit} R Package

Описание к видео Visualizing Survival Data with the {ggsurvfit} R Package

This webinar focused on the {ggsurvfit} R package, a tool designed to simplify the creation of time-to-event or survival analysis summary figures using {ggplot2}. It emphasized the package’s capability to produce high-quality, publication-ready Kaplan-Meier plots and other survival analysis figures with ease and efficiency. Overall, the webinar promised to be an informative session for statisticians, data analysts, and researchers interested in survival analysis, offering insights into how {ggsurvfit} could enhance their data visualization capabilities in R.

Main Sections

00:00 Introduction
02:46 what is survival analysis?
07:29 why {ggsurvfit}?
14:11 Visualizing Kaplan-Meier
20:47 Additional examples
30:09 Quantiles
37:40 KMunicate and themes
43:28 Competing Risks
50:54 {ggsurvfit} wrap up

More Resources

R Validation Hub Site: https://www.pharmar.org/
Main Site: https://www.r-consortium.org/
News: https://www.r-consortium.org/news
Blog: https://www.r-consortium.org/news/blog
Join: https://www.r-consortium.org/about/join
Twitter: https://twitter.com/rconsortium?lang=en
LinkedIn:   / r-consortium  
Mastodon: https://fosstodon.org/@RConsortium

Комментарии

Информация по комментариям в разработке