Sentence examples for main linear models from inspiring English sources

There were three main linear models investigated.

The existing systems theory for them is, in the main, linear model based.

The small number of people who reported large changes in PR made odds ratio estimates unstable for these categories (ΔPR > +2 or < −2) unstable; however, the results of using generalized logistic regression were qualitatively consistent with the results from our main linear regression models.

The outcomes of both study groups until one year after delivery are shown in table 2 and the results of the main linear effects models after the experimental intervention compared to usual care fitted to each outcome variable in table 3. The estimated treatment assignment effect demonstrates a statistical significant effect in the RDQ, for the experimental group compared to usual care.

Alistar and Brandeau provide an overview of the literature on resource allocation models [ 2], in which they describe three main methodologies: linear models, deterministic nonlinear epidemic models, and stochastic agent-based models.

This section is devoted to describing the main linear soft-modeling tools oriented to the description of the variation of two-way, multiway, and multiset data arrangements.

The main effects of general linear models indicated that the key affecting factors of soil TN and AN were hill type and fertilization at the single hill scale, hill type and soil type at the landscape scale, and hill type, slope position, parent material, soil type, land use and fertilization at the valley scale.

The figures depict the main effects tested by the linear models, with each variable (continuous vs rest-inserted loading, 100 vs 1000 repetitions) depicted in a separate figure.

In linear models including main effects for stress exposures and age, with separate slopes for CAPs mass concentration exposures by stress group (Table 4), the effect of CAPs on respiratory function was qualitatively different by stress group.

In a secondary analysis, we investigated the symptom burden and functioning trajectories within chemotherapy lines using the time since the start of the chemotherapy line as the main effect in separate mixed linear models.

36 The main disadvantages are that generalised linear models do not naturally account for correlation in the errors 37 and the models may need to be complex to capture all the dynamics of the relationship within a series and between two or more series.