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Título del libro:
Título del capítulo: A Copula-Based Fully Bayesian Nonparametric Evaluation of Cardiovascular Risk Markers for Normoglycemic Patients in the Mexico City Diabetes Study

Autores UNAM:
CLAUDIA ANDREA WEHRHAHN CORTES; RUTH SELENE FUENTES GARCIA; RAMSES HUMBERTO MENA CHAVEZ;
Autores externos:

Idioma:

Año de publicación:
2025
Palabras clave:

Cardiology; Diseases; Health risks; Markov processes; Association structures; Breaking process; Cardiovascular risk; Cardiovascular risk marker; Carotid intima-media thickness; Conditional copula; Conditional copula function; Copula functions; Dependent stick-breaking process; Hyperglycemic risk marker; Risk assessment


Resumen:

Cardiovascular disease leads the cause of death worldwide, and several studies have been carried out to understand and explore cardiovascular risk markers in normoglycemic and diabetic populations. In this work, we explore the association structure between hyperglycemic markers and cardiovascular risk markers controlled by triglycerides, body mass index, age, and sex, for the normoglycemic population in The Mexico City Diabetes Study. Understanding the association structure contributes to the assessment of additional cardiovascular risk markers in this low-income urban population with a high prevalence of classic cardiovascular risk biomarkers. The association structure is measured by conditional Kendall?s tau, defined by means of conditional copula functions. The latter are in turn modeled under a fully Bayesian nonparametric approach, which allows the complete shape of the copula function to vary for different values of controlled covariates, which mediate the association. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.


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