Tidy Survival Analysis: Applying R's Tidyverse to Survival Data

Music City Center 

Room: CC-110A 

This course aims to equip participants with the skills to apply tidy principles to survival analysis, fostering a more organized and reproducible approach to data analysis in R.

Target Audience: Statisticians, data analysts, researchers, and students interested in survival analysis who are familiar with R and the Tidyverse.

Prerequisites: Basic understanding of survival analysis concepts and proficiency in R programming.

Course Overview:
Survival analysis is a key statistical method used to analyze time-to-event data, particularly in fields such as medicine, biology, and social sciences. This workshop will introduce participants to the principles of survival analysis and demonstrate how to implement these techniques using R's Tidyverse, focusing on a tidy data approach to make analysis more intuitive and efficient.

Materials Provided:
• Slide deck with key concepts and examples
• Sample datasets for hands-on exercises
• R scripts demonstrating key analyses
• List of additional resources for further learning