Analysis

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Related to bivariate analysis: multivariate analysis, univariate analysis

Analysis

The practice of examining information to determine what conclusions it indicates,. The information observed in analysis depends on the type of analysis being conducted. For example, technical analysis uses statistics to determine future price movements of securities, while fundamental analysis looks at indicators of a company's intrinsic value. Analysis may involve qualitative or quantitative information, or both. Most forms of analysis have both strengths and weaknesses.
References in periodicals archive ?
In bivariate analysis, fourteen variables (see figure 2) were significantly associated with having a repeat pregnancy.
Aono et al (16) stated that patients under 5 years of age exposed to similar anesthetic models with sevoflurane showed a higher rate of delirium (40% vs 11.5%; P=0.032), unlike our reported bivariate analysis (12.6% vs 13,8%; P= 0.440).
The concentrations obtained were expressed in pg/ml and compared between groups by a bivariate analysis. The data are represented by the median for each group (n=23 per group).
In bivariate analysis (Table 2), maternal ANC attendance during recent pregnancy (p = 0.002), baseline CD4 cell count (p = 0.015), delivery in a health facility (p = 0.017), infant NVP prophylaxis use postdelivery (p < 0.001), infant exclusive breastfeeding within the first 6 months of life (p < 0.001), and maternal use of ART (p < 0.001) were statistically significantly associated with MTCT.
Education also showed a significant difference in the bivariate analysis (p = 0.042).
The bivariate analysis indicated no association between the use of EFZ and cognitive impairment or depression.
Table 2 shows the multivariate analysis using logistic regression model on the associated factors of VAS coverage found significant on bivariate analysis (i.e., age group, religion, and immunization status for VPDs).
The aetiology of ESRF appeared to have positive correlation with CVD where diabetic nephropathy and hypertensive nephrosclerosis has the worst outcome as shown in the bivariate analysis. In a large, prospective cohort study that included 12 550 adults, the development of type II diabetes was almost 2.5 times as likely in persons with hypertension than in their normotensive counterparts.
The results of the multivariate analysis agree with those of the bivariate analysis, with varying levels of statistical significance.
Two steps were then undertaken: bivariate analysis between predictors and outcomes for each time point, and a bivariate analysis across the three time points for the depression outcome.
Independent sample t-test was used to compare the means of two groups in pre and postoperative conditions while chi-sqaure test was used for bivariate analysis to confirm the significant association of complications for two groups.
Sociodemographic factors for the bivariate analysis included: gender, age, years of education, area of residence and race/colour.