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Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty
The existing paired t-test under classical statistics cannot be applied when the data is obtained from the complex process, having interval, uncertainty, indeterminacy, and incompleteness. In this paper, the modification of the paired t-test under neutrosophic statistics is proposed. The testing cri...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437665/ https://www.ncbi.nlm.nih.gov/pubmed/34527738 http://dx.doi.org/10.1155/2021/5527845 |
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author | Albassam, Mohammed Aslam, Muhammad |
author_facet | Albassam, Mohammed Aslam, Muhammad |
author_sort | Albassam, Mohammed |
collection | PubMed |
description | The existing paired t-test under classical statistics cannot be applied when the data is obtained from the complex process, having interval, uncertainty, indeterminacy, and incompleteness. In this paper, the modification of the paired t-test under neutrosophic statistics is proposed. The testing criterion of the proposed paired t-test is given. The application of the proposed paired t-test is given using the interval quality control of clinical laboratory data. From the analysis, it can be seen than the proposed test is quite effective and informative to apply for testing the measurement tools in the clinical laboratory. |
format | Online Article Text |
id | pubmed-8437665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-84376652021-09-14 Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty Albassam, Mohammed Aslam, Muhammad Biomed Res Int Research Article The existing paired t-test under classical statistics cannot be applied when the data is obtained from the complex process, having interval, uncertainty, indeterminacy, and incompleteness. In this paper, the modification of the paired t-test under neutrosophic statistics is proposed. The testing criterion of the proposed paired t-test is given. The application of the proposed paired t-test is given using the interval quality control of clinical laboratory data. From the analysis, it can be seen than the proposed test is quite effective and informative to apply for testing the measurement tools in the clinical laboratory. Hindawi 2021-09-04 /pmc/articles/PMC8437665/ /pubmed/34527738 http://dx.doi.org/10.1155/2021/5527845 Text en Copyright © 2021 Mohammed Albassam and Muhammad Aslam. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Albassam, Mohammed Aslam, Muhammad Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty |
title | Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty |
title_full | Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty |
title_fullStr | Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty |
title_full_unstemmed | Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty |
title_short | Testing Internal Quality Control of Clinical Laboratory Data Using Paired t-Test under Uncertainty |
title_sort | testing internal quality control of clinical laboratory data using paired t-test under uncertainty |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437665/ https://www.ncbi.nlm.nih.gov/pubmed/34527738 http://dx.doi.org/10.1155/2021/5527845 |
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