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ICC s measure the proportion of variance attributable to targets of measurement as a ratio of within-subject variance to total variance [ 22 ] and are suitable to compare variables of the same measurement class [ 23 ] . We computed two types of ICC s using the notation developed by Shrout and Fleiss [ 22 ] : ICC(2,1) was computed for each analyte using all 5 measurement occasions to estimate the temporal reliability of the analyte; ICC(2,k) was computed between batches to estimate the contribution of between-batch variance to the temporal reliability estimate.
ICC(2,1) was computed as ICC(2,1) = , where BMS is the between-subjects mean square, EMS is the error mean square, k is the number of observations, OMS is the observations mean square, and n is the number of subjects [ 22 ] . ICC(2,k) was computed as ICC(2,k) = . We applied the formulas by Shrout and Fleiss [ 22 ] to obtain 95% CIs.