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 ?
After bivariate analysis was performed, the logistic regression model was adjusted: the variables of gender, age group, skin color and education were included because they had a p value of less than 0.
The bivariate analysis also demonstrated that an elevated random blood glucose level or low density lipoprotein (LDL) level significantly increased the cardiovascular risk.
We were able to show significant increase in incidence of postoperative renal dysfunction in diabetic patients in bivariate analysis, and this finding was consistent with other studies.
Bivariate analysis found that two risk factors--the presence of coagulopathy (p = 0.
Bivariate analysis showed that the use of contraceptives among currently married women increases with age reaching a maximum in age 30-34 and declines slightly in age group 35-39.
Accordingly, variables that were significantly associated with self-reported adherence rate in the bivariate analysis were WHO clinical stage, baseline CD4 count, occupation status, place of residence, and treatment duration.
1) A descriptive analysis in order to show the frequency of each virus, and 2) A bivariate analysis in order to make clear the relationship between virus and risk factors like age, gender and vaccination.
The bivariate analysis of coping strategies having stress as an outcome variable is shown in table 2.
In statistical bivariate analysis, we used Pearson's chi-square and ANOVA tests for categorical and numeric variables respectively.
Bivariate analysis was used to compare demographic variables as well as variables related to RA in patients with and without treatment with corticosteroids.