The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research

Bayesian statistics make it possible to contrast statistical hypotheses of significance through probabilities, a priori and posteriori, given the data, whose usefulness is ideal in clinical research. One of the best-known methods is the Bayes factor. The application of this Bayesian method is an alt...

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Main Author: Cristian Antony Ramos Vera
Format: Article
Language:Spanish
Published: Universidad de las Ciencias Médicas de Cienfuegos 2021-06-01
Series:Revista Finlay
Subjects:
Online Access:https://revfinlay.sld.cu/index.php/finlay/article/view/998
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author Cristian Antony Ramos Vera
author_facet Cristian Antony Ramos Vera
author_sort Cristian Antony Ramos Vera
collection DOAJ
description Bayesian statistics make it possible to contrast statistical hypotheses of significance through probabilities, a priori and posteriori, given the data, whose usefulness is ideal in clinical research. One of the best-known methods is the Bayes factor. The application of this Bayesian method is an alternative to evaluate comparative hypotheses of investigations with binary data, effective for case-control studies. The statistical application using the Bayesian test can be very useful in other research related to COVID-19 that can methodologically reinforce future investigations of chronic diseases of greater interest to Finlay magazine.
format Article
id doaj-art-179851c9337647a18164bd21ebc51cd6
institution Kabale University
issn 2221-2434
language Spanish
publishDate 2021-06-01
publisher Universidad de las Ciencias Médicas de Cienfuegos
record_format Article
series Revista Finlay
spelling doaj-art-179851c9337647a18164bd21ebc51cd62025-01-30T21:22:00ZspaUniversidad de las Ciencias Médicas de CienfuegosRevista Finlay2221-24342021-06-01113225228514The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease ResearchCristian Antony Ramos Vera0Facultad de Ciencias de la Salud. Universidad César Vallejo. Lima. Perú.Bayesian statistics make it possible to contrast statistical hypotheses of significance through probabilities, a priori and posteriori, given the data, whose usefulness is ideal in clinical research. One of the best-known methods is the Bayes factor. The application of this Bayesian method is an alternative to evaluate comparative hypotheses of investigations with binary data, effective for case-control studies. The statistical application using the Bayesian test can be very useful in other research related to COVID-19 that can methodologically reinforce future investigations of chronic diseases of greater interest to Finlay magazine.https://revfinlay.sld.cu/index.php/finlay/article/view/998teorema de bayesinvestigación biomédicacovid-19infecciones por coronavirusenfermedad crónica
spellingShingle Cristian Antony Ramos Vera
The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
Revista Finlay
teorema de bayes
investigación biomédica
covid-19
infecciones por coronavirus
enfermedad crónica
title The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
title_full The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
title_fullStr The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
title_full_unstemmed The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
title_short The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research
title_sort bayesian contrast of clinical events and the evidence quantitative method in chronic disease research
topic teorema de bayes
investigación biomédica
covid-19
infecciones por coronavirus
enfermedad crónica
url https://revfinlay.sld.cu/index.php/finlay/article/view/998
work_keys_str_mv AT cristianantonyramosvera thebayesiancontrastofclinicaleventsandtheevidencequantitativemethodinchronicdiseaseresearch
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