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Ecological networks have a well-defined architecture, since they are more nested than expected by random models [10], [11], [12], they have a higher density of links, a shorter distance between species, and species are more clustered [13], [14], and thus have strong small-world properties [14].
We compared the distributions of angles against distributions formed by random models, namely hexagonal and square lattices with various amount of jitter.
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In pooled analysis, EFS was significantly better in responding group, 0.45 (95 % CI, 0.26 0.78) by random model.
The summary odds ratios for the GG and AG genotype were estimated by random model, they are 1.96 (95%% CI 1.10 3.50) and 1.68 (95%% CI 1.12 2.53), respectively.
The pooled frequency of minor G allele in LADA group was 49.2%95%95 % CI 35.2 63.3), along with high heterogeneity (I = 95), and in non-LADA group was 44.9%95%95 % CI 36.3 53.9), which estimated by random model (I = 97).
In general, it is important to note that for logistic regression, the population averaged model (fitted using GEE) and the cluster specific method (modelled by random effects models) are in fact estimating different population models.
(c) Proportion of deleted edges predicted by trained models compared to the expected proportion achieved by a random model.
Heterogeneity 45 was taken into account in the one stage approach by multilevel techniques and in the two stage approach by the random model of DerSimonian and Laird.
For phrase transitions we tested if observed frequencies deviated from those predicted by a random model.
This approach tested whether the number of occurrences of syllable pairings differed from the number predicted by a random model.
random model for DNA sequences, the number of random hits per junction per million reads (X) can be determined by a Random Model reported in Sultan et al. [12].
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