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: Wheeler et al. (2021) – Risk Analysis .

The algorithm was first applied in:

• Houben (2020) – Food and Chemical Toxicology
• Remington et al. (2020) – Food and Chemical Toxicology

Some technical changes have been made to the original code and algorithms to improve the speed of analysis and to make 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, including a test dataset, is available for download via:

• Zenodo repository – DOI 10.5281/zenodo.17312869
• TNO repository – DOI 10.82135/3rqd-a576