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Spss version 26.0 statistics package

Manufactured by IBM
Sourced in United States

SPSS version 26.0 is a comprehensive statistical software package developed by IBM. It provides a wide range of data analysis and management tools, catering to the needs of researchers, analysts, and organizations. The core function of SPSS is to enable users to perform statistical analysis, data mining, and predictive modeling on a variety of data sets.

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Lab products found in correlation

2 protocols using spss version 26.0 statistics package

1

Statistical Analysis of Autoimmune Biomarkers

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SPSS version 26.0 statistics package (Chicago, IL, USA) was used to analyze the data. Since some data are non-normal distribution, including erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), immunoglobulin(Ig)A, IgG, IgM, complement(C)3, C4, NIH score, mean fluorescence intensity (MFI) of PD-1 in CD4+PD-1+ cells, PD-1, and PDL-1 expression in the aorta, serum levels IL-10, IL-7, CCL2, and CCL3,we described them as median (Q1, Q3). While normal-distributed variables, including age, age of onset, the frequency of CD4+PD1+ cells, the frequency of CD4+Foxp3PD-1+ cells, the frequency of CD4+CD25+Foxp3+PD-1+ cells, were described as mean ± SE. Student's t-test or Wilcoxon rank test was used to compare differences between the two groups. P < .05 was considered statistically significant.
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2

Age-related Differences in Cognitive Task

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All datasets were checked for normality by Shapiro–Wilk’s test. Independent samples t-test were used to compare demographic and behavioral data between age groups. The sex distribution between the groups was analyzed using the Chi-squared test. Effect size d was calculated and indicated as small (d > 0.2), medium (d > 0.5), and large (d > 0.8) [47 ]. To test the age group × condition interaction effects, we performed 2 × 5 repeated measures analysis of variance (ANOVA) with group (YA and OA) as between-participants factor and condition (resting state, task condition, and recovery) as within-participants factor, with pair-wise comparison using Bonferroni adjustment for multiple comparisons. The Mauchly Test was used to check sphericity and, when appropriate, utilizing Greenhouse–Geisser corrected p values. For significant results, we reported ηp2 and indicated as small (ηp2 > 0.01), medium (ηp2 > 0.06), and large (ηp2 > 0.14) effects. SPSS version 26.0 statistics package (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. p < 0.05 was considered statistically significant, two-sided.
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