All continuous variables were tested for normal distribution using the D'Agostino-Pearson omnibus normality test. These variables were then expressed as the mean and standard error of the mean (SEM). Two group comparisons were carried out using Student's t-test for independent samples. Tests with p<0.05 were considered statistically significant. Comparison among more than two groups was carried out using one-way analysis of variance (ANOVA) followed by Tukey's multiple comparisons post-hoc test. These tests were made using Graphpad Prism 6 (Graphpad, San Diego, CA, USA). Univariable analyses of demographic factors, linear regression and correlation of duration of diabetes vs biomarkers were carried out using Statistical Package for the Social Sciences, Windows version 24 (SPSS; SPSS Inc, Armonk, NY, USA).
Statistical package for the social sciences windows version 24 spss
Manufactured by IBM
Sourced in United States
Statistical Package for the Social Sciences, Windows version 24 (SPSS) is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization, primarily catered to the needs of social science researchers and professionals.
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Lab products found in correlation
2 protocols using statistical package for the social sciences windows version 24 spss
1
Statistical Analysis of Biomarkers
2
Analyzing Inflammation Mechanisms in Diabetes
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Data are expressed as means ± standard error of the mean (SEM). Graphs and statistical analyses were performed using GraphPad Prism 5 (Graphpad, San Diego, CA, USA). Unpaired t test was used to compare two groups; one-way ANOVA with Tukey’s post-hoc test was used to compare three or more groups. Two-way ANOVA was used to compare studies having four groups (SOCS3fl/fl controls, SOCS3fl/fl diabetes, LysMCre/+SOCS3fl/fl controls, LysMCre/+SOCS3fl/fl diabetes). A p value of < 0.05 was considered statistically significant. Statistical Package for the Social Sciences, Windows version 24 (SPSS; SPSS Inc., Armonk, NY, USA) was used to carry out linear regression and correlation of duration of diabetes and pSTAT3 expression.
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