Descriptive statistics, including means and standard deviations (SD) for continuous data, and counts and percentages for categorical variables were calculated as appropriate. Participants were further classified into three age groups: Middle-aged adults (age 46–55, N = 177), late middle-aged adults (age 56–65, N = 108), and older adults (age 66–75, N = 66). Comparisons between categorical variables were accomplished using Pearson’s Chi-square test or one-way analysis of variance (ANOVA). Log-binomial regression analyses were conducted in order to calculate the adjusted prevalence ratios and 95% confidence intervals for different variables and to evaluate the independent factors associated with the use of CAM modalities. All analyses were conducted using the PASW Statistics software for Windows (Version 18.0; SPSS Inc., Chicago, IL, USA). A probability value of less than 0.05 was considered to denote statistical significance.
Pasw statistics software for windows version 18.0
Manufactured by IBM
Sourced in United States
PASW Statistics software for Windows (Version 18.0) is a data analysis and statistical software package. The software provides tools for data management, analysis, and presentation.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using pasw statistics software for windows version 18.0
1
Age-Related Patterns in CAM Usage
2
Vascular Calcification Biomarkers Analysis
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All continuous data were presented as mean values ± standard deviation (SD) or median (inter-quartile range), depending on whether the data were normally distributed, as examined by the Kolmorgorov–Smirnov Z test. Spearman’s correlation analysis was used to examine the relationship among biochemical data, level of miRs, and AAC scores. Univariate and multivariate regression analyses were used to examine the relationship between each miR and the severity of vascular calcification (AAC score) in patients with calcification. Factors other than miRs that correlated with the severity of vascular calcification were selected for inclusion in the multivariate regression model to examine the correlation coefficients (β) and 95% confidence intervals (95% CIs) between miRs and calcification score. A two-sided P value of < 0.05 indicated statistical significance. PASW Statistics software for windows version 18.0 (SPSS Inc., Chicago, IL, USA) was employed for all statistical analyses.
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