Sentence examples for models or multiple from inspiring English sources

Model ensembles such as multiple statistical approaches, multiple dynamic models or multiple hybrid models for drought predictions were highlighted.

However, none of the OC pesticides were found to be significantly associated with prevalence of breast cancer in age-adjusted models or multiple variable adjusted models, which included the covariates of age (< 65 years of age vs. ≥ 65 years), race/ethnicity, BMI, education, smoking, NHANES data cycle, and marital status.

Should we use a single model, or multiple different models?

This approach analyzes multiple forecasts created with an individual forecast model or multiple models.

The Cox proportional hazard model or multiple logistic regression analysis was used to determine independent and significant predictive factors.

Heterogeneity was significant in this meta-analysis, and it could not be ruled out by using a random-effects model or multiple subgroup analyses.

While there are several genetic models for disease susceptibility, the 'rare variant common disease' model largely explains Mendelian heritability (one allele of major effect segregating with familial disease) whereas the 'common variant common disease' model (or multiple rare variants on common ancestral haplotypes) forms the theoretical basis of GWAS [ 46].

The selected variables are fused and analyzed using either one multi-class partial least-squares discriminant analysis (PLS2-DA) model or multiple two classes PLS-DA models, the latter using a novel approach in which a hierarchical structure enables introduction of prior knowledge.

The first step explicitly uses a non-linear model or multiple-linear models weighted using fuzzy membership function to compute the value of the controller output.

Whether a single-model or multiple-model method, it is difficult to achieve a short discrimination delay while maintaining high correct probabilities, due to the Q effect [2].

This paper presents the functionality of the newly designed hybrid evolutionary algorithm (HEA) applied for synthesizing predictive rules from complex ecological data by providing the options for: (a) modelling single or multiple rules and (b) optimizing model parameters by Hill Climbing (HC) or Differential Evolution (DE).