Sentence examples for model selection revealed from inspiring English sources

Stepwise model selection revealed that bulbar onset and diagnostic delay were the best predictors of class membership (Table S4).

These relationships were nonlinear and AICc model selection revealed slightly steeper slopes across early parities that were attenuated in high parity mothers.

Model selection revealed the superiority of the asymptotic regression, with a posterior probability of being the best model given the data and competing models of 0.999.

Model selection revealed that differences in gonopodial distal-tip shape between fragmentation regimes (scores along d) were largely attributed to differences in piscivore density and salinity (Table 3).

Model selection revealed that the best-fit model incorporated whether the study was conducted in the wild population's local environment or a foreign one, and the duration of the study, with each having significant effects (Table 4, Fig. 4).

This model selection revealed that age (0 < 0.001), ICU treatment (p = 0.003), Charlson co-morbidity index (p < 0.001) formed a model with the best trade-off between overall predictive ability of death and complexity as measured by BIC.

Model selection reveals that both the germ line gene expression level, measured by ε, and the distance to the nearest ORI, denoted as β, have a substantial effect (table 1).

Akaike information criteria and Model selection criteria revealed that the model was best described by Korsmeyer Peppas power law.

Applying this model selection approach revealed five mutational signatures.

The model selection procedure revealed a highly significant model (χ2 = 71.2, 7 df, p < 0.0001) including the variables COUNTRY, AGE and COMMUNITY.

Incorporating variation from both the missing data and the model selection process revealed as much optimism as using either source alone.