Sentence examples for models were constructed to investigate the from inspiring English sources

Multivariable linear regression models were constructed to investigate the relationship between sleep quality and demographic and clinical variables in BD and HC participants.

Finally, three-dimensional heat transfer models were constructed to investigate the effectiveness of various paraffin composite structures in the thermal management of a battery system.

Logistic regression models were constructed to investigate the combined predictors of refractive error in a multivariate fashion.

Regression models were constructed to investigate the influence of education on diagnosis within people assessed during phase II (Table 2).

Logistic regression models were constructed to investigate the independent influence of formal education level on dementia prevalence having adjusted for the effect of age (stratified by age band) and gender.

Following logarithmic transformation of non-normal distributed variables, Pearson correlations were calculated and stepwise multiple linear regression models were constructed to investigate the independent predictors of the iAUC of triglycerides and apo A-V.

Multiple linear and logistic regression models were constructed to investigate significant predictors of the outcomes of interest.

Linear regression models were constructed to investigate associations of clinical characteristics with glucose and triglyceride excursions, linearity being assessed using the Box-Tidwell test.

Cox models were constructed to investigate factors associated with death and development of an ADE after 6 months of HAART initiation (Table 3).

Two logistic regression models were constructed to investigate GPs' decisions to refer these patients.

Multiple regression models were constructed to investigate relationships between calcium intake and weight, length and bone variables.