An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
-
Updated
Aug 27, 2022 - Jupyter Notebook
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
An R package for semiparametric survival analysis.
Demonstrate Survival Regression Modelling using Bayesian inference and a Bayesian workflow, specifically using the `pymc` & `arviz` ecosystem.
Public-facing slides only. Case Study: Bayesian Survival Regression, with E2E workflow, on a complicated, real-world dataset "Lung"
Add a description, image, and links to the survival-regression topic page so that developers can more easily learn about it.
To associate your repository with the survival-regression topic, visit your repo's landing page and select "manage topics."