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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| Format: | Article |
| Language: | Spanish |
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Universidad de las Ciencias Médicas de Cienfuegos
2021-06-01
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| Series: | Revista Finlay |
| Subjects: | |
| Online Access: | https://revfinlay.sld.cu/index.php/finlay/article/view/998 |
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| Summary: | 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. |
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| ISSN: | 2221-2434 |