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...
- 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