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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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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 |
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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 |