Dynamic Survival Analysis: Modelling the Hazard Function via Ordinary Differential Equations

This repository contains information about the project ODESurv, which concerns the use of ordinary differential equations in survival analysis. In particular, this repository contains real data applications and R code for the survival models in:

Christen, J. A., and Rubio, F. J. (2024+). Dynamic Survival Analysis: Modelling the Hazard Function via Ordinary Differential Equations. Statistical Methods in Medical Research, in press. https://doi.org/10.1177/09622802241268504

Preprint. http://arxiv.org/abs/2308.05205

The following posts contain R code and real-data examples associated with the examples presented in the paper. The corresponding R codes are also available in this repository.

1. ODESurv: Logistic ODE hazard function
2. ODESurv: Hazard-Response model
3. Example 1. Dynamic Survival Analysis: Modelling the Hazard Function via Ordinary Differential Equations. LeukSurv data
4. Example 2. Dynamic Survival Analysis: Modelling the Hazard Function via Ordinary Differential Equations. rotterdam data

See also the ODESurv repository for Python code and MaryListerMcCammon-Project for Julia code.

See also HazReg for information about the HazReg R package.