Sentence examples for general regression linear from inspiring English sources

External construct validity was investigated testing expected differences between groups using one-way analysis of variance (ANOVA), Mann-Whitney tests and the univariate general regression linear model.

A general regression linear model (ANOVA), which provides both a regression and variance analyses for a dependent continuous variable, was developed for investigating variables independently associated with overall transfusion requirements.

We considered the strength of the relationships between this group of variables and fishing density across all gears using generalized linear and general regression models in STATISTICA.

General linear regression models were applied to test associations between the GPS and biochemical markers.

General linear regression modeling revealed that the categories infectious diseases, obstetrics-gynecology, pediatrics, PGY1 and student accounted for most of the variability in scores (Table 3).

General linear regression was applied to estimate mean number of PPY by age, period and cohort factors using SAS statistical software (SAS 9.2).

General linear regression models were used to estimate the association of any of the four SNPs with uric acid levels adjusted for various covariates, assuming an additive model.

General linear regression models were used to compare lipid subpopulation levels after adjustment for age, sex and body mass index (BMI).

General linear regression models were used to identify predictors of the boys' serum HCB, β-HCH, and p,p´-DDE concentrations.

General linear regression models were constructed to determine the demographic and clinical characteristics that predicted the amount and direction of improvement or worsening in PedsQL change scores.

General linear regression analysis, adjusted for group assignment, was used to identify potential effects of glucose-lowering drugs and other potential confounders on study outcomes.