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Exact(21)
The information gathered is very detailed, but the sample size is low and big firms are over-represented.
Our results show that the probability of failing the regulatory standards of the Directive is high when sample size is low, due to a higher variability in percentile values.
PAHC is especially well suited for analysis of community similarity/dissimilarity when the purpose of the analysis is mainly descriptive and the sample size is low to moderate (i.e. sampling entities<50, our sample = 36).
Uncertainty is greatest for intermediate vital rates (e.g. probabilities closer to 0.5 than to either zero or unity) and when sample size is low (see Figure S1 in supporting information).
For example, when allele frequencies are similar and sample size is low (n = 100), several forms of epistasis lead to a higher probability of correctly detecting at least one of the specified QTL, and also to lower false discovery rates, compared to the additive case.
First, the sample size is low.
Similar(38)
Additionally, the response rate was only 30%%, and the sample size was low.
However, the sample size was low in some of the subgroups.
The sample size was low, especially related to the subgroup analyses.
The sample size was low compared with some other studies from the literature.
Although we did not find a difference in weighted recovery time and number of captures, our sample size was low.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com