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Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders
We examined maximal oxygen consumption responses following exercise training to demonstrate the limitations associated with threshold‐based dichotomous classification of responders and non‐responders and proposed alternative methods for classification. Specifically, we: 1) calculated individual prob...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429972/ https://www.ncbi.nlm.nih.gov/pubmed/30488594 http://dx.doi.org/10.14814/phy2.13928 |
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author | Bonafiglia, Jacob T. Nelms, Matthew W. Preobrazenski, Nicholas LeBlanc, Camille Robins, Lauren Lu, Simo Lithopoulos, Alexander Walsh, Jeremy J. Gurd, Brendon J. |
author_facet | Bonafiglia, Jacob T. Nelms, Matthew W. Preobrazenski, Nicholas LeBlanc, Camille Robins, Lauren Lu, Simo Lithopoulos, Alexander Walsh, Jeremy J. Gurd, Brendon J. |
author_sort | Bonafiglia, Jacob T. |
collection | PubMed |
description | We examined maximal oxygen consumption responses following exercise training to demonstrate the limitations associated with threshold‐based dichotomous classification of responders and non‐responders and proposed alternative methods for classification. Specifically, we: 1) calculated individual probabilities of response, and 2) classified individuals using response confidence intervals (CI) and reference points of zero and a smallest worthwhile change of 0.5 METs. Our findings support the use of individual probabilities and individual CIs to improve the accuracy in non‐response classification. |
format | Online Article Text |
id | pubmed-6429972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64299722019-04-04 Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders Bonafiglia, Jacob T. Nelms, Matthew W. Preobrazenski, Nicholas LeBlanc, Camille Robins, Lauren Lu, Simo Lithopoulos, Alexander Walsh, Jeremy J. Gurd, Brendon J. Physiol Rep Original Research We examined maximal oxygen consumption responses following exercise training to demonstrate the limitations associated with threshold‐based dichotomous classification of responders and non‐responders and proposed alternative methods for classification. Specifically, we: 1) calculated individual probabilities of response, and 2) classified individuals using response confidence intervals (CI) and reference points of zero and a smallest worthwhile change of 0.5 METs. Our findings support the use of individual probabilities and individual CIs to improve the accuracy in non‐response classification. John Wiley and Sons Inc. 2018-11-22 /pmc/articles/PMC6429972/ /pubmed/30488594 http://dx.doi.org/10.14814/phy2.13928 Text en © 2018 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Bonafiglia, Jacob T. Nelms, Matthew W. Preobrazenski, Nicholas LeBlanc, Camille Robins, Lauren Lu, Simo Lithopoulos, Alexander Walsh, Jeremy J. Gurd, Brendon J. Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
title | Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
title_full | Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
title_fullStr | Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
title_full_unstemmed | Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
title_short | Moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
title_sort | moving beyond threshold‐based dichotomous classification to improve the accuracy in classifying non‐responders |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429972/ https://www.ncbi.nlm.nih.gov/pubmed/30488594 http://dx.doi.org/10.14814/phy2.13928 |
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