Basics

Survival Analysis in Scikit-survival

The more detail introduction part can be found at (“Scikit-Survival” 2020) and (Polsterl 2020). The data set is from (Kalbfleisch and Prentice 1980), which is also available in R in package ‘survival’.

The survival analysis is also known as time to event analysis, one of the key characteristics is that it involves censoring.

We will go through basic statistics and try these packages in R and Python.

Reference

Kalbfleisch, D, and RL Prentice. 1980. The Statistical Analysis of Failure Time Data. New York: Wiley.

Polsterl, Sebastian. 2020. “Scikit-Survival: A Library for Time-to-Event Analysis Built on Top of Scikit-Learn.” Journal of Machine Learning Research 21 (212): 1–6. http://jmlr.org/papers/v21/20-729.html.

“Scikit-Survival.” 2020. https://scikit-survival.readthedocs.io/en/stable/user_guide/00-introduction.html.