Therefore, it is unlikely that the tasks interrelations showed below with multivariate analyzes were due to poor performance in particular intervals or tasks.
For an alpha probability of.05 and a power of.80, the recommended sample size (N) to correctly evaluate the predictor variables (m) in the multivariate analyzes is: N = 50 + 8 m.
To determine whether the microbiota from the saliva and plaque distinguished healthy hosts and those with gingivitis, multivariate analyzes were applied to compare the overall structure of microbiota from each oral ecological niche based on Fast Unifrac-derivedand thetaYC-based distance matrices.
In those studies where this variable was included in the multivariate analyzes results are conflicting.
Further they are less susceptible to overfitting and multicollinearity, provide more accurate predictions, and do not make the unlikely assumption that the multivariate data being analyzed are multivariate normal.
Table 6 briefly shows the observed significant associations.> Among the sociodemographic variables used in this study, after multivariate analyzes, education was associated with individual empowerment and religiosity with collective empowerment.
Multivariate Cox proportional hazards regression analyzes were carried out to account for possible survival effects of the following covariates; tumor size, age, histological tumor grade, lymph node status and ER-status.
Uni- and multivariate analyses were used to analyze the hazard of death within 30 days from SAB.
Uni- and multivariate analyses were used to analyze the association between serious suicidal expressions vs. YSR-syndromes and exposure to suicide.
Multivariate analyses were used to analyze several risk factors, including age at time of transplantation, gender, primary diseases, dialysis time, number of HLA-mismatches, antibody induction therapy, acute rejection, blood transfusion, CTLA4 SNPs, and the time of discovery of tumor.
