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Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression
The relation between degree of sensorineural hearing loss and maximum speech identification scores (PB(max)) is commonly used in audiological diagnosis and rehabilitation. It is important to consider the relation between the degree of hearing loss and the lower boundary of PB(max), as the PB(max) va...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841653/ https://www.ncbi.nlm.nih.gov/pubmed/33487139 http://dx.doi.org/10.1177/2331216520983110 |
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author | Narne, Vijaya K. Möller, Sören Wolff, Anne Houmøller, Sabina S. Loquet, Gérard Hammershøi, Dorte Schmidt, Jesper H. |
author_facet | Narne, Vijaya K. Möller, Sören Wolff, Anne Houmøller, Sabina S. Loquet, Gérard Hammershøi, Dorte Schmidt, Jesper H. |
author_sort | Narne, Vijaya K. |
collection | PubMed |
description | The relation between degree of sensorineural hearing loss and maximum speech identification scores (PB(max)) is commonly used in audiological diagnosis and rehabilitation. It is important to consider the relation between the degree of hearing loss and the lower boundary of PB(max), as the PB(max) varies largely between subjects at a given degree of hearing loss. The present study determines the lower boundary by estimating the lower limit of the one-tailed 95% confidence limit (CL) for a Dantale I, word list, in a large group of young and older subjects with primarily sensorineural hearing loss. PB(max) scores were measured using Dantale I, at 30 dB above the speech reception threshold or at the most comfortable level from 1,961 subjects with a wide range of pure-tone averages. A nonlinear quantile regression approach was applied to determine the lower boundary (95% CL) of PB(max) scores. At a specific pure-tone average, if the measured PB(max) is poorer than the lower boundary (95% CL) of PB(max), it may be considered disproportionately poor. |
format | Online Article Text |
id | pubmed-7841653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78416532021-02-19 Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression Narne, Vijaya K. Möller, Sören Wolff, Anne Houmøller, Sabina S. Loquet, Gérard Hammershøi, Dorte Schmidt, Jesper H. Trends Hear Original Article The relation between degree of sensorineural hearing loss and maximum speech identification scores (PB(max)) is commonly used in audiological diagnosis and rehabilitation. It is important to consider the relation between the degree of hearing loss and the lower boundary of PB(max), as the PB(max) varies largely between subjects at a given degree of hearing loss. The present study determines the lower boundary by estimating the lower limit of the one-tailed 95% confidence limit (CL) for a Dantale I, word list, in a large group of young and older subjects with primarily sensorineural hearing loss. PB(max) scores were measured using Dantale I, at 30 dB above the speech reception threshold or at the most comfortable level from 1,961 subjects with a wide range of pure-tone averages. A nonlinear quantile regression approach was applied to determine the lower boundary (95% CL) of PB(max) scores. At a specific pure-tone average, if the measured PB(max) is poorer than the lower boundary (95% CL) of PB(max), it may be considered disproportionately poor. SAGE Publications 2021-01-25 /pmc/articles/PMC7841653/ /pubmed/33487139 http://dx.doi.org/10.1177/2331216520983110 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Narne, Vijaya K. Möller, Sören Wolff, Anne Houmøller, Sabina S. Loquet, Gérard Hammershøi, Dorte Schmidt, Jesper H. Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression |
title | Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression |
title_full | Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression |
title_fullStr | Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression |
title_full_unstemmed | Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression |
title_short | Confidence Limits of Word Identification Scores Derived Using Nonlinear Quantile Regression |
title_sort | confidence limits of word identification scores derived using nonlinear quantile regression |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841653/ https://www.ncbi.nlm.nih.gov/pubmed/33487139 http://dx.doi.org/10.1177/2331216520983110 |
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