Fit Parametric Survival Models with R

Learn how to fit parametric survival models in R to extrapolate Kaplan–Meier data for PFS and OS, essential for survival analysis and partitioned survival models in oncology. ⚙️📈
New to survival analysis? My full beginner guide breaks it all down 👉    • Survival Analysis in R: A Total Beginner’s...  
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PHARMA GLOSSARY 🔍
A free tool to decode industry terms, abbreviations, and acronyms in pharma. Explore it here:
https://mirkovonhein.com/pharma-gloss...
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TIMECODES ⏰
0:00 Intro
0:10 Example Time-to-Event (TTE) Data
1:17 Extract Parameter Estimates
3:01 Sense-Check Your Extrapolation Parameters
3:23 Choosing the Best Fitting Model: AIC and BIC
4:23 Generate Kaplan-Meier Survival Curves from TTE Data
5:03 Your Turn: Generate Outputs for Overall Survival (OS) Data
5:17 Plot PFS and OS Curves
5:33 Outro
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REFERENCES 📚
Download R:
https://cran.r-project.org/bin/window...
Download RStudio:
https://posit.co/download/rstudio-des...
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TEMPLATES 🗂️
Download the PFS Time-to-Event data used in this example:
https://github.com/MvonHein/Fit-Param...
Download the OS Time-to-Event data used in this example:
https://github.com/MvonHein/Fit-Param...
Download the R code used in this example:
https://github.com/MvonHein/Fit-Param...
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HASHTAGS 🏷️
#SurvivalAnalysis #KaplanMeier #RProgramming