Sentence examples for model used mean from inspiring English sources

This model used mean parent diameter as the sole predictor; adding the mean deflection angle did not improve performance.

The one exception was that of the study on low-grade glioma; this model used mean tumor diameter as the dependent variable.

One model used mean arsenic within a township (typically 6 × 6 miles; 4.24 miles maximum from the centre), and when we focused on homes served by private wells and used a radius of 4 miles our results were nearly identical (ρ = 0.35 vs. ρ = 0.36).

This model uses mean error rate per allele to quantify genotype errors [33], [35], [37].

The model uses mean values for the included variables that can be different in the analyzed GP-practices.

The Model using mean exposure across visits as a summary and random intercepts from the Two stage mixed effects model use repeated measures that can more powerfully detect such an effect than any single measurement model, e.g. the Multiple logistic regression model and the Parallel cross-sectional logistic regression models, regardless of the number of exposure measurements available.

A two-stage approach can relax the assumption for the Model using mean exposure across visits as a summary or the Model using maximum exposure value across visits as summary, that the longitudinal trend is irrelevant in terms of detecting the association between X and Y.

This method resembles the Model using mean exposure across visits as a summary, except now we regress the binary variable on the maximum, rather than the average, of the continuous variable: where and is defined as the vector of covariates at the visit of which the continuous variable assumes its maximum value for subject i.

All models used mean centred data, computed a default of 15 factors, and used full cross-validation.

The models used mean EDF and an indicator variable for a high EDB (in the highest tertile), since the distribution of EDB was highly skewed.

We first present mathematical solutions of this model using mean-field approximation, and demonstrate that this model can reproduce structural properties, such as heterogeneous connectivity and hierarchical modularity, in real metabolic networks both qualitatively and quantitatively.