Exact(3)
By using the variables shown in Table 2, the multivariate logistic regression model was constructed using the backward selection approach to form the risk score (RS) formula.
Multivariate regression analysis was performed using the variables shown to be significant in univariate analyses with stepwise model selection using p < 0.05 to retain variables in the model.
The level of male involvement in PMTCT was assessed using the variables shown in Table 2. Three hundred fifty-nine (51.3%) of the 700 men had attended ANC with their partners, but most of them 685 (97.9%) out of 700 provided financial support to their spouses to attend ANC.
Similar(57)
Then, a multiple logistic regression analysis was performed using the variables showing significant correlations in the univariate analysis (p < 0.05).
In order to find out which variables were related to birth weight and the T and B cell subsets, multiple step-wise linear regressions were run (0.05 for input and p = 0.1 for output, backward conditional stepwise selection) using the variables showing significant differences or correlations in the univariate analysis.
In these comparisons we will use the variables shown in Table 2 Frequencies will be calculated for categorical variables and means and medians with confidence intervals for continuous variables.
The least-significant difference (LSD) test was used if the variables showed equal variance; otherwise Dunett T3 test was used.
At baseline, no variables are found to influence the global satisfaction in a multiple regression analysis using the variables that show significant influences: centre and income level.
To determine the factors useful for predicting the changes of objective signs and subjective symptoms related to dry eye, multiple regression analyses using the stepwise method were then performed using the variables that showed some trend toward significant association (P value < 0.2) in the simple regression analyses.
The last stage in processing, the imputation of the missing ethnicity using the existing variables shown to be associated with missing ethnicity (Table 1) and external information derived from the above sources was carried out in Stata using the MI package ICE [ 14].
Hence, through the use of methodological triangulation, the variables shown in Table 2 are assessed for caregivers, directors and children.
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