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The effect of two diets (NFD and HFD) and seven crowding levels (4, 6, 8, 10, 12, 14, 16) on dam body weight (DBW), LS and SR was analyzed separately by using general linear model (GLM) with factorial ANOVA and the significance of mean difference between groups was evaluated by Scheffe's post hoc test.
The association between oral hygiene and inflammatory markers and coagulation was examined in a subsample of participants (n=4830) by using general linear models with adjustments.
Both Concern and Function were coded dichotomously as low (< mean) and high (≧ mean) according to the requirement of a categorical independent variable by using general linear model (GLM), an effective method of estimating mean values in a multivariate model.
Statistical analyses were carried out separately for each experiment by using general linear models (lm function, r software, version 2.14.0; R Development Core Team 2011), using the same principle of model selection as before.
The statistical significance of the tests for linear trend of means conducted by using general linear contrasts was assessed with an adjusted Wald F statistic that adjusts for the denominator degrees of freedom.
Multivariate analyses were conducted by using general linear regression models fitted to the logit transformed β methylation values to assess the association between methylation at each CpG locus and clinical or tumor covariates, adjusting for age, race, menopausal status, and stage as appropriate.
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Adjustment for differences in baseline covariates and changes in variables during the study were performed by ANCOVA using general linear models.
Treatment effects were assessed by ANOVA, using general linear modelling, with BMI, period, treatment and treatment order included in the model.
Possible effects of velocity and displacement on the NJC and number of submovements were also examined by comparing groups using general linear models with velocity and displacements as covariates.
Subjects evaluate each designed combination holistically in category rating or ranking tasks; their responses are decomposed by statistical analysis, typically using general linear statistical models.
The densities of hydrolysis spots produced on P 3HB-co-4HB) film under different conditions were analyzed by analysis of variance using general linear model (GLM) P 3HB-co-4HB
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