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The remotely sensed variables were collapsed using a principal components analysis, and combined with the canopy segment summary variables and topographic descriptors, and field survey data to explain the variation in the initial sample of basal area (BA) using a regression model (models to predict trees per hectare (TPH) and percent conifer BA were also developed).
In our primary analysis, we will use linear mixed models model to test for the effect of treatment on outcomes at 1, 3 and 6 months follow-up.
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Adipokine combinations were added into the full model (model 3) to assess joint effects.
As a follow-up analysis, three item-parceling models (Models 4A to 4C) were tested.
Table 4 presents the significant relationships between the hypothesized factors, based on various structural equations models (models 1 to 5).
In addition, three more models (Models 7 to 9) are considered for the heterogeneity of variance among sites.
The second model (model II) aims to explain the date when each fruit was trapped.
The simple model (model A) corresponds to random-site model M0, and assumes no site ω heterogeneity.
The fitted models for mating success (Second set of models: model 6 to 13, Table 1) included the effects of body size, dominance rank, F0min, and Dfmin.
As a result, another model (model 3) was run to test partial scalar invariance.
In the fully adjusted model (model 3), low adherence to HDI remained significantly associated with UHT.
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CEO of Professional Science Editing for Scientists @ prosciediting.com