The Levine's test of variance was violated when analyzing the variance between the two study groups for the MFG (left and right: p < 0.001).
We analyzed the variance between all m/z peak intensities after calibration, smoothing, alignment, and normalization, and the coefficient of variation (CV) was found to be less than 10% for all the selected mass peaks (Additional file 1: Figure S1).
There are several potential approaches to analyzing the variance in the experiment: The variability between repeated probes on the same array.
ANOVA software statistical system was used with Tukey's testing to analyze the variances and significances of difference between paired means.
To further study the different properties of external and internal regions, we analyzed the variance in GC-content and correlations between CDS part ranks along genes.
Following this, we analyzed the variance components in the begging calls to apportion the observed variance to differences between hunger levels and individuals.
Statistical analysis was performed to analyze the significance of variance between the three groups using the Kruskal-Wallis one-way analysis of variance by ranks, as the data showed a nonparametric distribution.
One way ANOVA was used to analyze the significance of variance between cell types from 3 separate experiments, each performed in quadruplicate.
For both microsatellite and mtDNA data, we used an analysis of molecular variance (AMOVA), in Arlequin v3.1 [ 49], to analyze the partitioning of genetic variance within and between sampling localities.
The prevalence ratio (PR) was calculated using a Poisson regression with a robust error variance to analyze the association between anti-PGL-I seropositivity and various factors, as the study design was cross-sectional and the outcome was frequent [ 12].
Logistic regression with robust estimates of the variance was used to analyze the relationship between explanatory variables and receiving at least two A1c tests or one LDL test.
