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One-way analysis of variance was used for comparing mean values of three groups, the Bonferroni method for mean values of two groups, and the χ2 test for ratios (Additional file 1, Table 1 and Additional file 2, Table 2).

Differences between included and non-included patients were tested by Independent Samples t-tests for ratio data and Pearson's Chi-Square tests for nominal data.

We used t tests or Mann–Whitney tests for ratio scale variables, and for all tests a two-tailed P value of <0.05 was considered statistically significant.> -wrap-foot>> -wrap-foot>> -wrap-foot> Abbreviation: SD, standard deviation.

Statistical significance of exact test for proportion R L ratio = 1.

Quadrupole ICP-MS are the easiest instruments to operate, but magnetic sector ICP-MS have the potential to provide the best quality and particularly the multi-collector ICP-SMS instrument tested for ratios close to unity.

Groups were compared with Student's t-test for single values, one-sample t-test for relative values and with Ratio t-test for ratio-values and considered significant different when p<0.05.

Category variables were compared by a Z-test for ratios or by Fisher's exact test [ 8].

Data are mean ± SEM; For values: * = p < 0.05 vs. non-diabetic, unpaired t-test; For ratios: # = p < 0.05 vs. non-diabetic, Chi-square test.

The number of tests for ratios of compounds within classes such as phosphatidylcholines is equal to the size of the unique SNP set multiplied by the number of combinations, n* n-1)/2, which in* n-1 case which be 92*91/2 = 4186.

The two rates were compared using a two-sided F test for the ratio of two Poisson random variants.

Logistic regression analysis and a Breslow-Day test for odds ratio heterogeneity were used to analyse the full German case-control panel (A+B) for potential epistatic effects.

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