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The datasets were pooled and thus comprised 7620 respondents from the 2003 NDHS, 33,385 respondents from the 2008 NDHS, and 38,948 respondents for the 2013 NDHS.
The datasets were pooled and checked for normality of distribution by Shapiro Wilk test and compared by nonparametric statistics methods (Friedman ANOVA and Kendall coefficient of concordance; Kruskal Wallis ANOVA).
All five miRNA datasets were pooled (see additional file 3 for details).
Given the genetic similarity between populations A and B, these two datasets were pooled.
Results of ten imputed datasets were pooled to obtain an overall outcome.
Distributions of nodes identified by MBP and NaV1.6 were indistinguishable, so datasets were pooled for quantitative analysis.
Similar(44)
First of all, we start pooling pairs of artificial datasets, and thereafter increase the number of pooled datasets pooled until all six artificial datasets are pooled.
There is a clear trend indicating that the DLCV error decreases when more datasets are pooled (see Figure 6A).
From a statistical point of view, a larger dataset implies more statistical power, advocating an early integration approach where (normalized) datasets are pooled prior to the analysis [ 6].
If synergy exists between the artificial datasets, we hypothesize that the classifier performance should improve when more artificial datasets are pooled.
It turns out that there is a highly significant positive trend (Pearson correlation 0.85, p = 1.8 e - 18) towards selecting more genes when artificial datasets are pooled.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com