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A mixed analysis of variance (ANOVA) model was created for the retrieval period that allowed us to examine both within-group effects as well as condition-by-group interactions.
Since a principal component analysis of these six items revealed only one factor (with an eigenvalue greater than one) accounting for 56% of the total variance, a consolidated single measure was created and used with an accumulated score reaching a maximum of 24 and good internal consistency (Cronbach's alpha = .84).84
The allocation sequence was created by Medpace using a Williams design to balance variance from potential carry-over effects.
The final list of NTHi-regulated genes was created by combining genes that were positive by >2 statistical approaches (variance modeling, curve fitting or 2-way ANOVA).
A series of linear combinations of variables was created [principal components (PCs)] that explained successively smaller proportions of total variance.
After being normalized to mean 0 and variance 1, clusters were created with default parameters, except for cluster range 3-7.
Profiles of genomic variances across this chromosome were created by computing posterior variances in half-overlapping blocks of 100 SNP for each trait.
In this paper, we studied the expression variance of genes that were created during a WGT event using RNA-Seq data.
Both sets were created with identical variances in building features (heights, widths, depths, and setbacks), but one set had fractal structure and the other set did not.
The models are created using the co-variance matrix of a data-set which is representative of the system of interest.
In total, 14 samples, 7 per experimental condition, were created and normally distributed noise with variance 1/λ i was added.
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