Exploring computational methods in the statistical analysis of imprecise medical data: between epistemology and ontology

The accuracy of the results is essential to evaluate the effectiveness of statistical methods in the analysis of medical data with uncertainty. Indicators such as margin of error, percent agreement and coefficient of determination quantified accuracy under epistemic and ontological uncertainty. The...

Full description

Autores:
Nieto Sanchez, Zulmary Carolina
Bravo Valero, Antonio José
Tipo de recurso:
Fecha de publicación:
2024
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/16224
Acceso en línea:
https://hdl.handle.net/20.500.12442/16224
https://doi.org/10.56294/saludcyt20241341
Palabra clave:
Estadística
Métodos computacionales
Datos imprecisos
Incertidumbre
Epistemología
Ontología
Statistics
Computational Methods
Imprecise Data
Uncertainty
Epistemology
Ontology
Rights
openAccess
License
Attribution-NonCommercial-NoDerivs 3.0 United States