Interval Censored Bayesian Stacked Survival Model Interval Censored Bayesian Stacked Survival Model for generating population ED curves

The Interval Censored Bayesian Stacked Survival Model uses the log-likelihood estimation of different interval censored survival models based on different distributions to create a combined model that represents the data more accurately. Model stacking combines selected models by giving each model a weight. This approach can be used for generating population ED curves.

Interval Censored Bayesian Model Stacking Survival Model algorithm for generating population ED curves.

Literature

This algorithm was programmed by Dr. Wheeler et al. according to the 2021 paper ( https://doi.org/10.1111/risa.13585 ), and first applied in the papers by Houben (2020, https://doi.org/10.1016/j.fct.2020.111831 ) and Remington et al. (2020, https://doi.org/10.1016/j.fct.2020.111259 ).

Some technical changes have been made in the original code and algorithms to improve speed of analysis and making the process of applying it to your dataset more user friendly.

Download adapted algorithm 

The Interval Censored Bayesian Model Stacking Survival Model algorithm for generating population ED curves and a test data set are available for download via these links:

Zenodo DOI: 10.5281/zenodo.17312869 

TNO DOI: https://doi.org/10.82135/3rqd-a576