In the ANCOVA model, variables showed normally distributed residuals.
However, the Five-Factor model variables showed high temporal stability within participants, and further detailed research is needed to understand these findings.
Sensitivity analysis of initial conditions of the model variables showed that the level of apoptosis was more sensitive to the initial conditions in terms of Caspase8 and IAP. Figure 8C shows the sensitivity of each rate constant for the whole model.
Multivariate logistic regression analysis was performed, and we included in the model variables showing a statistically significant association (p<0.05) with the outcome in the bivariate analysis and a variable that, although not statistically significant in the bivariate analysis, was considered an important contributor to STI risk (ie, history of sex work).
To retain comparability between the three models, variables showing significance at the 0.05 level in at least one of the models are kept in all the models.
Using a linear model all variables showed significant negative relationships with GRper as indicated by the negative correlation coefficients (Table 2).
In the univariate model, thirteen variables showed marked differences between the DM group and non-DM group.
General Linear Models to evaluate the relation of DRD2 and DRD4 with anthropometrics first included DRD2, DRD4, residence and all two-way interactions and then, in a separate model, included variables shown in past studies to be associated with the anthropometric measure of interest [ 14, 42, 43].
We included into a logistic regression model the variables showing potentially interesting associations with the outcome and we used a forward stepwise procedure with the method of the likelihood ratio test for goodness-of-fit in order to control for possible confounding factors.
Partial response functions showing the change in TSV with changes in both variables show the model to be more sensitive to H30 than S (Figure 3).
