Your browser doesn't support javascript.
loading
El Enfoque Bayesiano en las Ciencias de la Salud / The Bayesian Approach in the Health Sciences
Vega Vargas, Juan.
  • Vega Vargas, Juan; Universidad de Tarapacá. Departamento de Ingeniería Industrial y de Sistemas. Arica. CL
J. health med. sci. (Print) ; 8(1): 53-56, ene.-mar. 2022.
Article in Spanish | LILACS | ID: biblio-1395768
RESUMEN
En estadística existen dos enfoques básicos, la estadística frecuentista que es la corriente principal y la estadística bayesiana. La mayoría de los principales métodos estadísticos son frecuentistas siendo el enfoque bayesiano más desconocido entre los investigadores. En el presente artículo se exponen los fundamentos lógicos del enfoque bayesiano y su uso mediante un ejemplo de aplicación. En este contexto, más que presentar un debate entre la lógica clásica y la bayesiana, se pretende mostrar de manera introductoria las enormes posibilidades que el enfoque bayesiano puede aportar a la investigación en las Ciencias de la Salud.
ABSTRACT
In the stadistic field there are two basic approaches, the Frequentist Statistics which is the primary one, and the Bayesian Statistics. The most used statistical methods are the Frequentist methods, being the Bayesian approach the most popular among researchers. In this article, the logical basis of the Bayendian approach and its use are exposed through an application example. In this context, rather than presenting a debate between the classic and the Bayensian logic, it is intended to demonstrate in an introductory method the considerable possibilities how Bayesian approach can contribute to Health and Sciences research.
Subject(s)

Full text: Available Index: LILACS (Americas) Main subject: Bayes Theorem / Health Sciences Type of study: Prognostic study / Risk factors Language: Spanish Journal: J. health med. sci. (Print) Journal subject: Medicina Year: 2022 Type: Article Affiliation country: Chile Institution/Affiliation country: Universidad de Tarapacá/CL

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: LILACS (Americas) Main subject: Bayes Theorem / Health Sciences Type of study: Prognostic study / Risk factors Language: Spanish Journal: J. health med. sci. (Print) Journal subject: Medicina Year: 2022 Type: Article Affiliation country: Chile Institution/Affiliation country: Universidad de Tarapacá/CL