A different perspective on studying stroke predictors: joint models for longitudinal and time-to-event data in a type 2 diabetes mellitus cohort

A different perspective on studying stroke predictors: joint models for longitudinal and time-to-event data in a type 2 diabetes mellitus cohort

Abstract Background Most predictive models rely on risk factors and clinical outcomes assessed simultaneously. This approach does not adequately reflect the progression of health conditions. By employing joint models of longitudinal and survival data, we can dynamically adjust prognosis predictions...

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Main Authors: F. J. San Andrés-Rebollo, J. Cárdenas-Valladolid, J. C. Abanades-Herranz, P. Vich-Pérez, J. M. de Miguel-Yanes, M. Guillán, M. A. Salinero-Fort, the MADIABETES
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Cardiovascular Diabetology
Subjects:
Stroke
Risk factors
Follow-up studies
Joint models
Type 2 diabetes mellitus
Prediction models
Online Access:https://doi.org/10.1186/s12933-025-02713-9
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https://doi.org/10.1186/s12933-025-02713-9

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