Sentence examples for model that modelled from inspiring English sources

The objective of this study was to investigate the accuracy of multi-line genomic prediction using non-linear models by kernel learning and a linear model that modelled trait by line combinations as separate but correlated traits, and to compare the prediction accuracy of these models to that of commonly used linear genomic prediction models presented by Calus et al. [ 22].

In an attempt to alleviate potential discrepancies between assumptions of linear models and multi-population data, two types of alternative models were used: (1) a multi-trait genomic best linear unbiased prediction (GBLUP) model that modelled trait by line combinations as separate but correlated traits and (2) non-linear models based on kernel learning.

In this section, we outline a model reduction technique widely used in physiological models that are modelled as slow-fast systems, and find conditions under which the use of this technique is justified.

In this fitting, a set of experimental data is used to guess the value of those parameters of the model that cannot be either modelled or measured experimentally.

Adjusted odds ratios were calculated from a multivariable logistic regression model that included Charlson comorbidity score (modelled as an integer-valued quantitative variable), age at diagnosis (expressed in years), and race (white vs non-white).

Therefore in this paper we propose a geostatistical fusion model, that regresses the combined NO2 concentrations from both automatic monitors and diffusion tubes against modelled NO2 pollution data from an atmospheric dispersion model.

We modelled net migration in three ways: as an autoregressive process, as a linear trend model and as a naïve model that assumes constant net migration.

Second, interventions and evaluations were guided by the conceptual framework, modelled after the 3 widely used theoretical models that are based on rigorous, empirical research in the field of patient-physician communication [ 2, 10, 11].

To that end, we developed a series of analyses that modelled one variable at the time followed by a set of combined models that adjusted for age and income.

Also presented are the derived models that enable the identification of underlying primary factors and their interactions that influence the modelled responses of underwater cement grout.

27 28 These models are flexible parametric models that have advantages over Cox regression 29 as the baseline cumulative hazard function is explicitly modelled with restricted cubic splines.