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Spss version 22.0 for windows 10

Manufactured by IBM
Sourced in United States

SPSS version 22.0 for Windows 10 is a statistical software package designed to analyze data. It provides a range of analytical tools and techniques for data management, exploration, modeling, and reporting.

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Lab products found in correlation

2 protocols using spss version 22.0 for windows 10

1

Statistical Analysis of MBCS Factors

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Continuous variables were summarized using means and standard deviations (SDs). All variables were tested for normal distribution using the Kolmogorov-Smirnov test. The Student's t-test was used to compare the means of continuous variables and normally distributed data; otherwise, the Mann-Whitney U-test was used. The study participants were divided into four groups by their MBCS. ANOVA was also employed to compare the means of continuous variables and normally distributed data; otherwise, the Kruskal-Wallis test was used. Categorical data were tested using the chi-square test. Risk factors were assessed with univariable Cox regression analysis. In addition, variables with statistical significance (p < 0.05) in the univariable analysis were included in multivariable analysis by applying multiple logistic regression based on forward elimination of data. Cumulative survival curves as a function of time were produced using the Kaplan-Meier method, and compared using the log rank test. All statistical tests were two-tailed, and a value of p < 0.05 was considered to be statistically significant. Data were analyzed using SPSS version 22.0 for Windows 10 (SPSS, Inc., Chicago, IL, USA).
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2

Feeding Regimen Effects on Metabolism

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Data were presented as mean ± SEM. Statistical analyses were conducted using SPSS version 22.0 for Windows 10 (SPSS Inc., Chicago, IL, USA). Fold change (FC) was calculated during continued feeding, GR and RF, respectively. All variables were checked for normal distribution by Shapiro-Wilk’s test, P > 0.05 was considered as the threshold for normal distribution. For variables with normal distribution, paired t-test was used to compare values within a group at different time points; independent t-test was used for the comparison between control group and test group. For variables with a skewed distribution, Wilcoxon test was used. Spearman Rho’s correlation coefficients were calculated for relationships between parameters at different time points. In statistical analyses, P < 0.05 was considered to be significant, unless otherwise stated.
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