For this purpose, five thresholds were fitted to define the highest abundance of C. imicola (500, 5000, 12000, 20000 and 50000).
Eighteen of the 22 items fit to define a unidimensional variable according to Rasch specifications (Infit and outfit MNSQ < 1.3).
The 20 items fit to define a unidimensional variable according to initial Rasch specifications (Infit MNSQ < 1.3) (Table 3).
A multiple linear regression model was fitted to define the association between HIV-1 DNA and previously selected clinical variables.
Using ROC curves, we determined threshold levels for nbBP that were best fitted to define a group of bad outcome.
The standard error and fit statistics for these estimates are also shown in Table 3. Nine of the 11 Physical items and 10 of the 11 Psychological items fit to define unidimensional variables by themselves.
The results were analyzed statistically using the Student's t-test, analysis of variance, F-test, and lack of fit to define the most important process variables affecting the metal removal efficiency.
The results were analyzed statistically using the Student's t-test, analysis of variance, F-test and lack of fit to define most important process variables affecting the percentage dye removal.
A linear regression was fitted to the defined models to test the relation between specific genotype models and expression values.
Similar case-centered logistic regression models were fitted to subgroups defined by age (65 79 years vs. ≥80 years) and cause of death (cardiovascular and respiratory causes vs. all other causes).
