Sentence examples for interrelationship among variables from inspiring English sources

Structural equation modeling (SEM) was used to measure interrelationship among variables.

The interrelationship among variables is assessed by studying the correlation coefficients on the basis of their distribution and their association to those groups defined upon random and fixed factors.

SEM is a statistical methodology to evaluate interrelationships among variables (correlated or not) comprising an underlying theoretical structure.

VAR model is a general framework used to describe the dynamic interrelationship among stationary variables.

To identify characteristics of the craniofacial complex in Turner syndrome (TS) patients from Croatian population, to investigate the interrelationship among craniofacial variables and to assess their correlation with age.

The complexity and heterogeneity of Autism Spectrum Disorders (ASD) require the implementation of dedicated analysis techniques to obtain the maximum from the interrelationship among many variables that describe affected individuals, spanning from clinical phenotypic characterization and genetic profile to structural and functional brain images.

Multivariate models are used from different perspectives: classical regression models and continuous or categorical principal component analysis are used to describe multivariate interrelationship among selected variables.

Descriptive and exploratory analyses will be performed to understand the distributions of individual variables and the interrelationships among different variables, and inform multivariable modeling and causal inferences.

checking interrelationships among the variables and removing poor predictor variables (e.g., C2H6).  .

While individual studies have shown that each of the preceding variables has been related to improvements in hospital performance, a literature search revealed little about understanding the interrelationships among the variables.

Multivariate analysis is concerned with the interrelationships among several variables.