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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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Detalles Bibliográficos
Autor principal: Squara, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
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.
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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
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