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A New Ratio for Protocol Categorization
The present review describes and validates a new ratio “S” created for matching predictability and balance between TP and TN. Validity of S was studied in a three-step process as follows: (i) S was applied to the data of a past study predicting cardiac output response to fluid bolus from response to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966412/ https://www.ncbi.nlm.nih.gov/pubmed/24738007 http://dx.doi.org/10.1155/2014/389845 |
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author | Squara, Pierre |
author_facet | Squara, Pierre |
author_sort | Squara, Pierre |
collection | PubMed |
description | The present review describes and validates a new ratio “S” created for matching predictability and balance between TP and TN. Validity of S was studied in a three-step process as follows: (i) S was applied to the data of a past study predicting cardiac output response to fluid bolus from response to passive leg raise (PLR); (ii) S was comparatively analyzed with traditional ratios by modeling different 2 ∗ 2 contingency tables in 1000 hypothetical patients; (iii) precision of S was compared with other ratios by computing random fluctuations in the same patients. In comparison to other ratios, S performs better in predicting the cardiac response to fluid bolus and supports more directly the clinical conclusions. When the proportion of false responses is high, S is close to the coefficient correlation (CC). When the proportion of true responses is high, S is the unique ratio that identifies the categorization that balances the proportion of TP and TN. The precision of S is close to that of CC. In conclusion, S should be considered for creating categories from quantitative variables; especially when matching predictability with balance between TP and TN is a concern. |
format | Online Article Text |
id | pubmed-3966412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39664122014-04-15 A New Ratio for Protocol Categorization Squara, Pierre Comput Math Methods Med Research Article The present review describes and validates a new ratio “S” created for matching predictability and balance between TP and TN. Validity of S was studied in a three-step process as follows: (i) S was applied to the data of a past study predicting cardiac output response to fluid bolus from response to passive leg raise (PLR); (ii) S was comparatively analyzed with traditional ratios by modeling different 2 ∗ 2 contingency tables in 1000 hypothetical patients; (iii) precision of S was compared with other ratios by computing random fluctuations in the same patients. In comparison to other ratios, S performs better in predicting the cardiac response to fluid bolus and supports more directly the clinical conclusions. When the proportion of false responses is high, S is close to the coefficient correlation (CC). When the proportion of true responses is high, S is the unique ratio that identifies the categorization that balances the proportion of TP and TN. The precision of S is close to that of CC. In conclusion, S should be considered for creating categories from quantitative variables; especially when matching predictability with balance between TP and TN is a concern. Hindawi Publishing Corporation 2014 2014-03-05 /pmc/articles/PMC3966412/ /pubmed/24738007 http://dx.doi.org/10.1155/2014/389845 Text en Copyright © 2014 Pierre Squara. https://creativecommons.org/licenses/by/3.0/ 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 Squara, Pierre A New Ratio for Protocol Categorization |
title | A New Ratio for Protocol Categorization |
title_full | A New Ratio for Protocol Categorization |
title_fullStr | A New Ratio for Protocol Categorization |
title_full_unstemmed | A New Ratio for Protocol Categorization |
title_short | A New Ratio for Protocol Categorization |
title_sort | new ratio for protocol categorization |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966412/ https://www.ncbi.nlm.nih.gov/pubmed/24738007 http://dx.doi.org/10.1155/2014/389845 |
work_keys_str_mv | AT squarapierre anewratioforprotocolcategorization AT squarapierre newratioforprotocolcategorization |