Related papers: Prediction model for rare events in longitudinal follow-up and resampling methods

Prediction model for rare events in longitudinal follow-up and resampling methods

URL: http://arxiv.org/abs/2306.10977v1
Date: Mon, 19 Jun 2023 14:36:52 GMT
Title: Prediction model for rare events in longitudinal follow-up and resampling methods
Authors: Pierre Druilhet and Mathieu Berthe and St\'ephanie L\'eger
Abstract summary: We consider the problem of model building for rare events prediction in longitudinal follow-up studies. We compare several resampling methods to improve standard regression models on a real life example.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: We consider the problem of model building for rare events prediction in longitudinal follow-up studies. In this paper, we compare several resampling methods to improve standard regression models on a real life example. We evaluate the effect of the sampling rate on the predictive performances of the models. To evaluate the predictive performance of a longitudinal model, we consider a validation technique that takes into account time and corresponds to the actual use in real life.

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