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Because we performed multiple measurements in the same patients, we replaced the classic Bland-Altman analysis [19] by a specific technique dedicated to the evaluation of the agreement between methods of measurement with multiple observations per individual [20].
Standardized values allow comparison between methods of measurement.
When systematic differences between methods of measurement occur, high ICCs may not necessarily imply high agreement.
Differences between methods of measurement were assessed using the phi coefficient.
SD of the mean bias was calculated according to the agreement between methods of measurement with multiple observations per individual [ 27].
Lin objected to the use of ICC as a way of assessing agreement between methods of measurement, and developed the CCC.
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For assessment of the differences between the auralizations a statistical method commonly used for assessing agreement between methods of clinical measurement was adopted.
International standardization between methods of S100B measurements is required to enable effective assessment of the predictive validity of S100B in clinical practice.
When assessing the concordance between two methods of measurement of ordinal categorical data, summary measures are often used.
When assessing the concordance between two methods of measurement of ordinal categorical data, summary measures such as Cohen's (1960) kappa or Bangdiwala's (1985) B-statistic are used.
For assessing agreement between two methods of measurement of IAP, we used Bland-Altman plots [13].
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