Integrated Brier Score based Survival Cobra -- A regression based approach
This is an incremental improvement for survival analysis practitioners, offering a regression-based ensemble method for conditional survival function prediction with censored data.
The paper tackles survival function prediction by developing a novel weighted ensemble method based on Integrated Brier Score, extending the COBRA framework to handle right-censored data and using different norms for proximity calculations. It demonstrates the approach on real-life datasets but provides no concrete performance numbers.
Recently Goswami et al. \cite{goswami2022concordance} introduced two novel implementations of combined regression strategy to find the conditional survival function. The paper uses regression-based weak learners and provides an alternative version of the combined regression strategy (COBRA) ensemble using the Integrated Brier Score to predict conditional survival function. We create a novel predictor based on a weighted version of all machine predictions taking weights as a specific function of normalized Integrated Brier Score. We use two different norms (Frobenius and Sup norm) to extract the proximity points in the algorithm. Our implementations consider right-censored data too. We illustrate the proposed algorithms through some real-life data analysis.