Gaussian process regression for survival data with competing risks

Version 1.0 (1,1 Mo) par James Barrett
Flexible non-parametric regression tool for survival data (including competing risks)
5.0
(1)
507 téléchargements
Mise à jour 25 nov. 2014

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This tool performs Gaussian process (GP) regression on time-to-event measurements (survival data). GP regression offers a flexible non-parametric way to infer the relationship between covariates and survival outcomes. Predictions, hazard rates, and survival functions can all be computed. This work is based on the publication available here: http://arxiv.org/abs/1312.1591. Please don't hesitate to email me if there are any problems.

Citation pour cette source

James Barrett (2024). Gaussian process regression for survival data with competing risks (https://www.mathworks.com/matlabcentral/fileexchange/48566-gaussian-process-regression-for-survival-data-with-competing-risks), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2014b
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v_1_0_0/

v_1_0_0/gpcr/

Version Publié le Notes de version
1.0