Cargando…

Aleatory and epistemic uncertainties can completely derail medical research results

Aleatory uncertainties are generated by intrinsic factors such as studying a sample rather than the whole population and the source of epistemic uncertainties is extraneous such as limitations of knowledge. These uncertainties inflict all the findings in empirical medical research, but they are rare...

Descripción completa

Detalles Bibliográficos
Autor principal: Indrayan, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239410/
https://www.ncbi.nlm.nih.gov/pubmed/32134004
http://dx.doi.org/10.4103/jpgm.JPGM_585_19
_version_ 1783536682350411776
author Indrayan, A
author_facet Indrayan, A
author_sort Indrayan, A
collection PubMed
description Aleatory uncertainties are generated by intrinsic factors such as studying a sample rather than the whole population and the source of epistemic uncertainties is extraneous such as limitations of knowledge. These uncertainties inflict all the findings in empirical medical research, but they are rarely appreciated. This article highlights these uncertainties and shows with the help of an example how apparently valid and reliable findings can completely derail due to these uncertainties. We conclude that aleatory and epistemic uncertainties should get due consideration while drawing conclusions and before the results are put into practice. Methods to reduce their impact on results are also presented.
format Online
Article
Text
id pubmed-7239410
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-72394102020-05-29 Aleatory and epistemic uncertainties can completely derail medical research results Indrayan, A J Postgrad Med Technology Review Aleatory uncertainties are generated by intrinsic factors such as studying a sample rather than the whole population and the source of epistemic uncertainties is extraneous such as limitations of knowledge. These uncertainties inflict all the findings in empirical medical research, but they are rarely appreciated. This article highlights these uncertainties and shows with the help of an example how apparently valid and reliable findings can completely derail due to these uncertainties. We conclude that aleatory and epistemic uncertainties should get due consideration while drawing conclusions and before the results are put into practice. Methods to reduce their impact on results are also presented. Wolters Kluwer - Medknow 2020 2020-04-01 /pmc/articles/PMC7239410/ /pubmed/32134004 http://dx.doi.org/10.4103/jpgm.JPGM_585_19 Text en Copyright: © 2020 Journal of Postgraduate Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Technology Review
Indrayan, A
Aleatory and epistemic uncertainties can completely derail medical research results
title Aleatory and epistemic uncertainties can completely derail medical research results
title_full Aleatory and epistemic uncertainties can completely derail medical research results
title_fullStr Aleatory and epistemic uncertainties can completely derail medical research results
title_full_unstemmed Aleatory and epistemic uncertainties can completely derail medical research results
title_short Aleatory and epistemic uncertainties can completely derail medical research results
title_sort aleatory and epistemic uncertainties can completely derail medical research results
topic Technology Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239410/
https://www.ncbi.nlm.nih.gov/pubmed/32134004
http://dx.doi.org/10.4103/jpgm.JPGM_585_19
work_keys_str_mv AT indrayana aleatoryandepistemicuncertaintiescancompletelyderailmedicalresearchresults