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Table 4 Reproducibility and precision data evaluated through intra-day and inter-day studies Conc.

Clinical and access data were systematically entered in a database while acceptance and organisational data were evaluated through ad hoc questionnaires.

Data were evaluated through frequencies, percentages, ratios, chi-square statistics.

The overall fit of the model to the data was evaluated through Chi square statistics, goodness-of-fit index (GFI), comparative fit index (CFI), normed fit index (NFI), incremental fit index (IFI), standardized root mean square residual (SRMR), and root mean square error of approximation (RMSEA).

Genotype data was evaluated through Stanford University algorithm.

Data were evaluated through ANOVA (P < 0.05).

The normal distribution of quantitative data was evaluated through the D'Agostino test.

The data are evaluated through the hypothesis test in which the void hypothesis equals the average and the alternative is the difference between them.

The whole genome microarray data were further evaluated through the following data analysis strategy: first, the microarray data were analyzed by two-way analysis of valiance (ANOVA) with false discovery rate (FDR) correction to identify significantly modulated gene transcripts for each factor.

The reproducibility of microarray data can be evaluated through the computation of correlation coefficients within and among the data sets from different microarray experiments.

In addition, field rut data have been evaluated through Mandli's pavement profile scanner.