Reasons for HIV testing were analyzed using logistic regression including epidemiologic variables.
Thereafter, the test was analyzed using a four-dimensional partial credit model (Masters 1982) including background information such as gender, age, vocation, intelligence, the answer data from the non-cognitive facets, and other relevant variables.
Data from cyclic tests was analyzed using one way ANOVA with a 0.05 significance level with IBM SPSS Statistics (version 21, IBM, Armonk, NY), followed by a Tukey HSD post hoc analysis.
The passive avoidance test was analyzed using Mann-Withney U non-parametric test.
The data for OF and repeated tail suspension tests was analyzed using repeated measures ANOVA with genotype and sex as main effects, and test interval or day as a repeated measure.
The difference between flow patterns in the bench test was analyzed using Mann Whitney U test.
Tests were analyzed using the OC sensor MICRO desktop analyzer (Eiken Chemical Co., Tokyo, Japan) according to the manufacturers instructions [ 24].
Data and associations between demographic characteristics and syphilis tests were analyzed using Fisher's Exact Test [ 5].
The results of the notched tests were analyzed using the procedure given in of UNI 11039-2.
