Ariane Cwiling

Ariane Cwiling

Machine learning for survival data prediction: Application of the super learner on pseudo-observations


12 avril 2024    
15h00 - 16h00

Type d’évènement

In the context of right-censored data, we study the problem of predicting the restricted time to event based on a set of covariates. Under a quadratic loss, this problem is equivalent to estimating the conditional Restricted Mean Survival Time (RMST). To that aim, we propose a flexible and easy-to-use ensemble algorithm that combines pseudo-observations and super learner. The classical theoretical results of the super learner are extended to right-censored data, using a new definition of pseudo-observations, the so-called split pseudo-observations.

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