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Data were mean ± SD.
All data were mean values ± standard deviation (SD).
Data were mean ± SD of three repeated experiments.
Small amounts of missing data were mean imputed except for outcome measures.
Data were mean ± SD. *P < 0.05 compared with control by one-way ANOVA test.
Data were mean ± SD. ***P < 0.001 compared with that from the negative control.
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The model is estimated on quarterly data covering the period 1990Q1 to 2015Q4.9 So as to improve the comparability of the Beveridge curve parameter estimates across countries (by taking specific account of idiosyncratic cross-country variability in reported labour demand conditions, unrelated to business cycle developments), each country's labour shortage data were mean-adjusted.
Both x- and y- block data were mean-centered prior to PLS-DA [27].
The data were mean-centered and scaled to unit variance prior to their use in model calculations.
All the data were mean-centered and a multicollinearity test and genetic-algorithm were used to identify the buckets that included the resonances from the key metabolites, which differed among the groups.
The NMR data were mean-centered and then subjected to unsupervised statistical analysis, PCA, using Pirouette software version 3.11 (Infometrix Inc., PA) to classify the samples (control or diabetic) based on the metabolites that varied the most across the entire sample set.
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