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Statistical methods for assessing agreement between double readings of clinical measurements

Statistical analysis of data is crucial in cephalometric investigations. There are certainly excellent examples of good statistical practice in the field, but some articles published worldwide have carried out inappropriate analyses. OBJECTIVE: The purpose of this study was to show that when the dou...

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Autores principales: VIEIRA, Sonia, CORRENTE, José Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Odontologia de Bauru da Universidade de São Paulo 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984195/
https://www.ncbi.nlm.nih.gov/pubmed/21986654
http://dx.doi.org/10.1590/S1678-77572011000500009
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author VIEIRA, Sonia
CORRENTE, José Eduardo
author_facet VIEIRA, Sonia
CORRENTE, José Eduardo
author_sort VIEIRA, Sonia
collection PubMed
description Statistical analysis of data is crucial in cephalometric investigations. There are certainly excellent examples of good statistical practice in the field, but some articles published worldwide have carried out inappropriate analyses. OBJECTIVE: The purpose of this study was to show that when the double records of each patient are traced on the same occasion, a control chart for differences between readings needs to be drawn, and limits of agreement and coefficients of repeatability must be calculated. MATERIAL AND METHODS: Data from a well-known paper in Orthodontics were used for showing common statistical practices in cephalometric investigations and for proposing a new technique of analysis. RESULTS: A scatter plot of the two radiograph readings and the two model readings with the respective regression lines are shown. Also, a control chart for the mean of the differences between radiograph readings was obtained and a coefficient of repeatability was calculated. CONCLUSIONS: A standard error assuming that mean differences are zero, which is referred to in Orthodontics and Facial Orthopedics as the Dahlberg error, can be calculated only for estimating precision if accuracy is already proven. When double readings are collected, limits of agreement and coefficients of repeatability must be calculated. A graph with differences of readings should be presented and outliers discussed.
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spelling pubmed-39841952014-04-14 Statistical methods for assessing agreement between double readings of clinical measurements VIEIRA, Sonia CORRENTE, José Eduardo J Appl Oral Sci Original Articles Statistical analysis of data is crucial in cephalometric investigations. There are certainly excellent examples of good statistical practice in the field, but some articles published worldwide have carried out inappropriate analyses. OBJECTIVE: The purpose of this study was to show that when the double records of each patient are traced on the same occasion, a control chart for differences between readings needs to be drawn, and limits of agreement and coefficients of repeatability must be calculated. MATERIAL AND METHODS: Data from a well-known paper in Orthodontics were used for showing common statistical practices in cephalometric investigations and for proposing a new technique of analysis. RESULTS: A scatter plot of the two radiograph readings and the two model readings with the respective regression lines are shown. Also, a control chart for the mean of the differences between radiograph readings was obtained and a coefficient of repeatability was calculated. CONCLUSIONS: A standard error assuming that mean differences are zero, which is referred to in Orthodontics and Facial Orthopedics as the Dahlberg error, can be calculated only for estimating precision if accuracy is already proven. When double readings are collected, limits of agreement and coefficients of repeatability must be calculated. A graph with differences of readings should be presented and outliers discussed. Faculdade de Odontologia de Bauru da Universidade de São Paulo 2011 /pmc/articles/PMC3984195/ /pubmed/21986654 http://dx.doi.org/10.1590/S1678-77572011000500009 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
VIEIRA, Sonia
CORRENTE, José Eduardo
Statistical methods for assessing agreement between double readings of clinical measurements
title Statistical methods for assessing agreement between double readings of clinical measurements
title_full Statistical methods for assessing agreement between double readings of clinical measurements
title_fullStr Statistical methods for assessing agreement between double readings of clinical measurements
title_full_unstemmed Statistical methods for assessing agreement between double readings of clinical measurements
title_short Statistical methods for assessing agreement between double readings of clinical measurements
title_sort statistical methods for assessing agreement between double readings of clinical measurements
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984195/
https://www.ncbi.nlm.nih.gov/pubmed/21986654
http://dx.doi.org/10.1590/S1678-77572011000500009
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