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Spss statistics v 22.0 software for mac

Manufactured by IBM
Sourced in United States

SPSS Statistics v.22.0 is a software program designed for statistical analysis, data management, and reporting. It is compatible with the Mac operating system. The software provides a range of statistical techniques and tools to analyze and interpret data.

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Lab products found in correlation

2 protocols using spss statistics v 22.0 software for mac

1

Analyzing Muscle Mass and Inflammation

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Continuous variables are expressed as the mean ± standard deviation. We compared the continuous variables of the L group with those of the N group using the Mann–Whitney U-test. We also compared the categorical variables of the L group with those of the N group using the chi-squared test. Spearman's rank correlation coefficient was used to examine the relationship between the SMI measured by BIA and TNF-alpha level. A logistic regression analysis was used to examine the risk factors for low muscle mass and was performed for items that were significantly different (p < 0.05) in the univariate analysis. Each analysis was performed separately for the under-65 group (nonelderly) and the over-65 group (elderly).
All statistical analyses were performed using SPSS Statistics v.22.0 software for Mac (IBM Corp., Armonk, NY, USA). Results with a p value of <0.05 were considered significant in all analyses.
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2

Evaluating Oxidative Stress Risk Factors

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Continuous variables were expressed as mean ± standard deviation (SD). We compared continuous variables of the L group to those of the N group using the student t-test, and categorical variables of the L group to those of the N group using the Chi-squared test. Logistic regression analysis was performed to evaluate important risk factors of elevated oxidative stress, as defined by f(HMA) < 70%: L group. The dependent variable was N versus L groups. Following univariable analysis, variables that yielded a p-value < 0.20 were included in the multivariable analysis.
Each analysis was done separately for the under-65 (non-elderly) and the over-65 (elderly) groups.
All statistical analyses were performed using SPSS Statistics v.22.0 software for Mac (IBM Corp., Armonk, NY, USA). A p-value < 0.05 was considered significant in all analyses.
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