A model of variance, which describes departures of the variance from being proportional to the squared absolute value of admittance, is fitted to the evaluated variance.
Therefore, all quantities for lipid species were controlled for BMI and HOMA-IR using them as covariates in a general linear univariate model of variance (ANCOVA).
● a model of variance M (a mathematical model and/or visualization method for explaining variance).
The model of variance components was fixed to have similar variance, an assumption supported by the similar variance of the repeated PRT values from the four positive controls.
The differences in apoB between genotypes remained significant after controlling for age, cigarette smoking status, and BMI, by a general factorial model of variance (P=0.032).
Data was analyzed using a general linear model of variance ANOVA and the average percentages were compared using the Tukey test at 95% confidence intervals (P < 0.05).
Data were assessed by a general linear model of variance (GLM ANOVA) and the means were compared by the Tukey test at 95% confidence intervals (P < 0.05).
It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude.
The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas.
Statistical analysis used SPSS general linear model analysis of variance for repeated measures.
