4 research outputs found
Integrated Brier Score based Survival Cobra -- A regression based approach
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.Comment: arXiv admin note: text overlap with arXiv:2209.1191
Area-norm COBRA on Conditional Survival Prediction
The paper explores a different variation of combined regression strategy to
calculate the conditional survival function. We use regression based weak
learners to create the proposed ensemble technique. The proposed combined
regression strategy uses proximity measure as area between two survival curves.
The proposed model shows a construction which ensures that it performs better
than the Random Survival Forest. The paper discusses a novel technique to
select the most important variable in the combined regression setup. We perform
a simulation study to show that our proposition for finding relevance of the
variables works quite well. We also use three real-life datasets to illustrate
the model