Bayesian Replication of Mortality and Morbidity Risk Effects in Chronic Disease Research
Bayesian inference allows the replication of clinical findings by means of the Bayes factor which is referred to as the probability of the data under one hypothesis in relation to another. The use of the Bayesian approach is important, as an improved way of drawing statistical conclusions from clini...
Saved in:
Main Author: | Cristian Antony Ramos Vera |
---|---|
Format: | Article |
Language: | Spanish |
Published: |
Universidad de las Ciencias Médicas de Cienfuegos
2021-04-01
|
Series: | Revista Finlay |
Subjects: | |
Online Access: | https://revfinlay.sld.cu/index.php/finlay/article/view/980 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
by: Cristian Antony Ramos Vera
Published: (2021-06-01) -
Characterization of Coronary Risk Factors in Workers at the Guillermo Domínguez López Hospital in Las Tunas
by: Alián Pérez Marrero, et al.
Published: (2024-04-01) -
Early Mortality due to non transmissible chronic diseases: preventable but still unsolved
by: Mirelys Haimé Seijo Vázquez, et al.
Published: (2018-04-01) -
Chronic Non-communicable Diseases in Health Care Workers: a Multidisciplinary Approach
by: Teresa Rodríguez Rodríguez, et al.
Published: (2014-10-01) -
Morbidity and mortality in the Cienfuegos Provincial Hospital (2018-2022)
by: Rodolfo Javier Rivero Morey, et al.
Published: (2023-05-01)