2011
DOI: 10.1590/s1678-77572011000500009
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Statistical methods for assessing agreement between double readings of clinical measurements

Abstract: 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.ObjectiveThe 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 an… Show more

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Cited by 15 publications
(8 citation statements)
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“…The following statistical analysis were applied for the development and cross-validation of the estimating equations: (a) analysis of data distribution using the Kolmogorov---Smirnov test and Q-Q normality plots. 18 During the application of the statistical analysis all theoretical presuppositions were reached: normality, linearity, homoscedasticity and independence of variables; (b) multiple stepwise linear regression using the method and independent variables: ''forward'' 21 ; (c) comparison between measured and estimatedV O 2max using the equations developed by the paired t-test; (d) Pearson's correlation; (f) analysis of individual residual scores using the Bland & Altman method 22 and standard error of the estimate (SEE) of 5 ml/kg −1 min −1 as well as reliability analysis using Cronbach's alpha. We used this degree of SEE based on the criterion to accept equation validity for estimatingV O 2max according to recommendations by Jette et al 23 and Gibson et al 24 The significance level adopted was p < 0.05.…”
Section: Incremental Degree Cpet Protocolmentioning
confidence: 99%
“…The following statistical analysis were applied for the development and cross-validation of the estimating equations: (a) analysis of data distribution using the Kolmogorov---Smirnov test and Q-Q normality plots. 18 During the application of the statistical analysis all theoretical presuppositions were reached: normality, linearity, homoscedasticity and independence of variables; (b) multiple stepwise linear regression using the method and independent variables: ''forward'' 21 ; (c) comparison between measured and estimatedV O 2max using the equations developed by the paired t-test; (d) Pearson's correlation; (f) analysis of individual residual scores using the Bland & Altman method 22 and standard error of the estimate (SEE) of 5 ml/kg −1 min −1 as well as reliability analysis using Cronbach's alpha. We used this degree of SEE based on the criterion to accept equation validity for estimatingV O 2max according to recommendations by Jette et al 23 and Gibson et al 24 The significance level adopted was p < 0.05.…”
Section: Incremental Degree Cpet Protocolmentioning
confidence: 99%
“…During the last decades, many research reported on the two related but clearly different notions of test-retest, namely, reliability and agreement (e.g. Bland and Altman, 1986;Grenier et al, 2000;Halligan, 2002;Kottner et al, 2011;Vieira and Corrente, 2011). In this study, following Kottner et al (2011), we define reliability as the capacity of a test or any other measurement tool to differentiate between respondents when measured twice under the same conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Information about the measurement repeatability of a developing method like OCT retinal oximetry is important for calculating appropriate study sample sizes in future studies 37. In the present study, there were obvious variations in artery ODR, vein ODR, and artery-vein ODR.…”
Section: Discussionmentioning
confidence: 57%