For comparison of multiple measurements, repeated measures analyses of variance (ANOVA) according to Fisher were performed.
For correlations between parameters that were repeatedly assessed at multiple insulin dosages in the same patients, repeated-measures ANOVA tests considering clustering of multiple measurements were used.
All data are expressed as mean of multiple measurements (n, indicating the number of replicates) from a representative experiment.
Using the method of multiple measurements with linear regression (MMLR), the three sets of PMU measurements are also employed for online calculation of the transmission line parameters.
Data were representatives of multiple measurements from 2 3 experiments.
The averaging of multiple measurements at different phases of the respiratory cycle has therefore been proposed.
However, a collection of multiple measurements over time would allow to solve this unambiguity.
Spectra are the average of multiple measurements, normalised to 1 cm and offset for clarity.
Consequently, the addition of multiple measurements in the critical proximal zone may result in more robust results (Fig. 2).
All error bars were standard deviations of multiple measurements of each parameter, all derived from biological replicates.
Data sets (see Additional file 1 for detailed data and sources) were chosen based upon the availability of multiple measurements, data required to calculate CIA (chemical alteration index) values, details of analytical methods, and lack of high-grade metamorphism.
