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We tried to overcome the effects of small sample size and minimize type II error by performing a robust and restrictive statistical analysis.
To account for possible effects of small sample sizes, the analysis was repeated with only two sources: grazed floodplains and croplands/grasslands/forested floodplains.
In order to minimize the effects of small sample size, all individuals were pooled together in their respective OA groups.
In doing so, the aim is to reduce effects of small sample size (stochastic errors) in phylogenetic calculations, thereby reinforcing the true phylogenetic signal [ 42, 43].
The sample size limit aims to ameliorate the potential statistical, biological and technological/methodological confounding effects of small sample sizes (Moonesinghe et al, 2008).
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This hierarchical design, together with the one class-SVM, aims to reduce the effects of small samples and high variability.
Two meta-analyses of somewhat different sets of these studies demonstrated that the difference in the birth sex ratios of high- and low-ranking females declined as the sample size increased [4], [5], suggesting that the variation represented stochastic effects of small samples.
To avoid the effects of small samples and confusion stemming from three more groups, subjects with other neurological diseases (OND, n = 24), clinically isolated syndrome (CIS, n = 20) and neuromyelitis optica (NMO, n = 5) were excluded, yielding 423 subjects: 155 healthy controls and 268 CDMS in the statistical analysis.
Bayesian statistics are used to minimize the effect of small sample size.
For each of the three platforms, the ten subsample DNA extracts were pooled to generate DNA stocks for subsequent analyses to assess DNA extract quality and its effect on the microbial community structure, while minimizing the effect of small sample volumes.
Only 106 of the SNPs in our study mapped within known segmental duplication regions and a test showed that SNPs presenting ASGE are not more likely to be located inside SDs than SNPs without ASGE (Table 5), even if the lack of statistical significance may be an effect of small sample size, as we will see below.
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