Sentence examples for using statistical approaches and from inspiring English sources

Finally, Blandon proposed the EVDF for six different constitutive models using statistical approaches and the equations are presented in Eq. (29).

This variation has been successfully overcome by using statistical approaches, and a biomarker panel of ten SNPs for predicting AR was identified (Table 1a).

Thus, comparison of actual gene regulation values by both treatments using statistical approaches and correlation of these M-values are clearly superior in such a setting since they directly compare gene regulations caused by treatment with either synthetic GC.

Mery and Pedreschi [7] proposed an estimation for a global threshold using statistical approach and morphological operation to segment food images.

This section contains an introduction of commonly used statistical approaches and missing data methods used for analysing clustered data, followed by a detailed description of our methodological strategy based on guidelines from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement.

Researchers mainly use statistical approach and artificial neural network as empirical models for modeling the thermal crackers; however, in the present study, a new application of genetic algorithm in the modeling is proposed.

Some have been shortened using statistical approaches [ 19, 20], and others by considering the perspective of patients and rheumatologists [ 11, 21].

In fact, as mentioned above, the TGSD can be assessed by field analysis using statistical approaches (e.g. Bonadonna and Costa 2013; Bonadonna and Houghton 2005) or by inverse modeling (Bonasia et al. 2010; Mannen 2006) and the quality of this estimation strongly depends on the quantity and quality of the data (e.g. Barsotti et al. 2010; Bonadonna et al. 2015).

In most cases, gene expression stability was determined by using statistical approaches such as geNorm [ 45] and NormFinder [ 46].

The changes at the molecular level (amino acid composition, formation of oxidative moieties, crystallinity and molecular weight) and on the macroscopic properties (pH, brightness, mechanical properties) have been investigated and integrated using statistical approaches.

Phenotypes can be modeled using statistical approaches, such as scale-free networks and Bayesian clustering models, that are based on the evaluation of NCDs as a whole, taking into account co-morbidities, severity and follow-up.