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Sample type (deep throat swab or sputum) explained only 7% of community variance (p = 0.001), with age group explaining 33% (p = 0.001), suggesting that the method of sample collection did not substantially impact community compositional differences, although differences in the site of sample collection likely explains this low level of variance observed.
Because of the low level of variance at the clinic level, three-level models are presented by dropping the random intercept term for clinic.
The low level of variance we observed in the localization ratio of each Lgl phospho-mutant is consistent with this scenario.
In fact, the relatively low level of variance explained by the Exploratory Factor Analysis (38%) indicates that there are other domains that impact on QOL, and this is an avenue for further research.
Unlike other classes, a low level of variance was observed in the number of CRY-DASH genes, which suggests that these genes do not have many alternative splicing isoforms.
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The low levels of variance partitioned among populations suggest that a good level of gene flow is present among the populations of the Indian Himalayas, which is aptly confirmed by gene flow calculations (Nm = 2.13).
The reason for doing this is that the lowest level of variance in a logit regression model is completely determined by the predicted value for ϕ1ij / ϕ3ij or ϕ2ij / ϕ3ij, which means that no separate term can be entered into the model (Hox [1995]).
The lowest level of variance (LV = 2.8 months2) was obtained by distributing the events of disturbance at approximately regular intervals.
A post-hoc power calculation showed that our set of studies had sufficient statistical power (1.00) on the basis of the random-effects model (based on the low level of between-study variance, τ = 0.003, and a significance level of 0.05).
These sites represent those with moderate and low levels of error variance, relative to additive genetic variance, (see Table 4).
It should also be kept in mind that morphological traits generally show low levels of dominance variance and that our results may not be applicable to other types of traits, such as life-history traits, that are known to be affected to a larger extent by dominance and epistatis [4].
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