Anthropometry was the dependant variable.
For instance, in a first model, the percentage of items with external validity was the dependant variable, the category of stents was the fixed effect on which F test was performed and journal was entered in the model as a random effect.
The model was as follows: Y ij = μ+ fam i + rep j + ε ij where Y ij is the dependant variable (Ct values), μ is the overall mean, rep j the replicate effect nested with family, fam i is the family effect and ε ij the residual error.
Clinical and biochemical hepatotoxicity were the dependant variables whereas age, sex, HBsAg, concomitant drug intake, HIV status, body mass index, CD4 count and anti-HCV antibody were the independent variables.
Average growth parameters were the dependant variables and the birth year of the cohort the independent variable.
Because the concentrations of daily BPA excretion were not normally distributed, we used natural log transformation when BPA was considered the dependant variable.
Following the univariable analysis, every response category that related to the same question was included in a separate intermediate model (not shown) if either the p value for being associated with the dependant variable was <0.2, or if the p value for interaction with sex or site was <0.1.
Kruskal-Wallis is a non-parametric version of ANOVA that is used when the dependant variable is ordinal in nature [ 32, 37].
The mean square error between the experimental data fitting and the reference spectrum fitting was determined in each case, and was used as the dependant variable for the experimental design analysis.
The total SCARED-5 anxiety score was used as the dependant variable and negative cognitive error scores were entered as predictors.
