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Related to bivariate analysis: multivariate analysis, univariate analysis
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The findings of the bivariate analysis supported the existing literature on the risk factors of adolescent repeat pregnancy.
According to the bivariate analysis of this report, anesthesia time (RR 1.01; 95% CI 1.002-1.019), surgical time (RR 1.013; 95% CI 1.003-1.022), and the use of dexamethasone (RR 2.273; 95% CI 1.108-4.660) were associated with the outcome, but this was not replicated in the logistic regression.
Adjusted multivariate linear regression analysis is done for independent variables (maternal anthropometric parameters, maternal age, gestational age, gravidity of women, antenatal care visit, household family size, and sex of the newborn) which have significant association on bivariate analysis (Table 3).
The PG[E.sub.2] levels was quantified by ELISA and compared between groups by a bivariate analysis. The data are represented by the median for each group.
First, we performed a univariable logistic regression analysis to assess the strength of association for all statistically significant variables at bivariate analysis without adjusting for potential confounders, and the result was stated in unadjusted odds ratio (UOR), corresponding 95% confidence interval (CI) and probability values (p-values).
This was followed by bivariate analysis according to the cases of self-inflicted injury and other cases of violence attended in the studied emergency medical services by the following variables that were pertinent to the statistical modeling: age; gender; race/skin color; years of education, area of residence; and ingestion of alcoholic beverage in the six hours prior to the event.
Taking into account the patients who screened positive on the IHDS and with scores in the upper quartile for at least three tools in the battery of neurocognitive tests, the bivariate analysis showed an association with the following variables: gender, age, race, educational level, depressive episode, use of ART, last CD4 count and nadir CD4.
Table 1 shows the bivariate analysis showing association of different variables with complete VAS.
Univariate and bivariate analysis for matched odds ratios (OR) and confidence intervals 95% (95% CI) of human leptospirosis from abiotic environmental Risk factors Cases Control [P.sub.value] by category Mudpuddle 0.014 Yes 15 (25%) 5 (8.3%) No 35 (58.3%) 33 (55%) Water ditch 0.005 Wet 30 (55%) 15 (25%) Dry 30 (45%) 45 (75%) Flood history 0.012 Yes 27 (45%) 14 (23.3%) No 33 (55%) 46 (76.7%) Risk factors OR 95% CI by category Mudpuddle 3.667 1.238 - 10.863 Yes No Water ditch 3 1.385 - 6.499 Wet Dry Flood history 2.688 1.226 - 5.895 Yes No Table 3.
In the bivariate analysis results, there were significant association between hypertensive nephrosclerosis (p=0.040), diabetes mellitus (p=0.050) and pre-existing CVD (p=0.024) with the occurrence of new CVD events (Table-II).
In the bivariate analysis (the comparison of means between T and [C.sub.1] households), we employ the weighted average to control for the difference in sampling probability.