Some associations that were significant in bivariate analysis were not significant in the adjusted analyses but bear mentioning:distance from clinic, alcohol use, level of education, and understanding the requirements of the study.
Furthermore, this variable was kept in the multivariate model while "riding a bus" and "taking the subway" (who were significant in bivariate analysis) were not [ 19].
The knowledge of HIV status of the sexual partner and the CD4's count at last check-up which were significant in bivariate analysis were not significant in multivariate analysis.> This study noted that four factors were associated with the global adherence to ART among PLWHA on ART attending the regional hospital of Sokodé.
In practical applications in which the existence of pleiotropic effect is unknown in prior, bivariate analysis is not necessarily more powerful than univariate analysis, even when the traits are strongly correlated.
Bivariate analysis is not a stratified analysis.
However, very preterm birth (< 32 weeks) although statistically significant in the bivariate analysis, was not statistically significant when adjusted in the multivariate.
The effects of years in practice (for the PHCT nurses) and RIPLS score (for the GPs) as shown in the bivariate analysis are not confirmed in the multiple linear regression analysis.
In the present study, gestational age, a strong risk factor in the bivariate analysis, was not included in the logistic model because of the strong autocorrelation with birth weight.
Variables not significant at p < 0.10 in bivariate analysis are not included in the table, including baseline ANG-2, baseline plasma HIV-1 RNA, baseline age, baseline tuberculosis, tobacco use, alcohol use, time-dependent ANG-2, time-dependent plasma HIV-1 RNA, change in plasma HIV-1 RNA, time-dependent Karnofsky Performance Score, time-dependent tuberculosis, and time-dependent CD4 category.
Variables not significant at p < 0.10 in bivariate analysis are not included in the table, including baseline ANG-1, baseline plasma HIV-1 RNA, baseline age, baseline Karnofsky Performance Score, baseline tuberculosis, tobacco use, alcohol use, and time-dependent Karnofsky Performance Score.
For those bivariate comparisons that resulted in non-significant differences, multivariate analysis were not calculated.
