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Since the two treatments necessarily included different behaviors (Table 1), we calculated agreement separately for each treatment.
We calculated agreement between reviewers for full text screening using the kappa statistic.
To evaluate consistency between raters, we calculated agreement for each group of raters.
We also calculated agreement (kappa)[ 13] between questionnaire and health claims diagnosis.
We calculated agreement for the overall score using the intraclass correlation coefficient (ICC) using a two-way random effects model [ 45, 49].
Since Intraclass Correlation Coefficients and Cohen's kappa values are relative measures of agreement [ 38], we calculated agreement percentages between the two observations.
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We also calculated agreements based only on what was recorded in the medical files.
Quantitative analysis was performed using an expectation maximization algorithm for Simultaneous Truth and Performance Level Estimation (STAPLE) with kappa statistics calculating agreement between physicians.
We aim to extend it for more than two raters and examine how to calculate agreement estimates and 95% confidence intervals (CIs).
Statistical analysis was performed using Program R for Windows (version 2.7.0). Concord software was used to calculate agreement between techniques.
It calculates agreement beyond chance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com