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Spss statistical package 16

Manufactured by IBM
Sourced in United States

SPSS (Statistical Package for the Social Sciences) is a comprehensive software package for statistical analysis. Version 16.0 provides a wide range of data management and statistical analysis capabilities. The core function of SPSS is to enable users to analyze and interpret data through various statistical techniques.

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Lab products found in correlation

23 protocols using spss statistical package 16

1

Analysis of CD68 and FOXQ1 Expression

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Data analyses were performed using SPSS statistical package 16.0 (SPSS Institute, Chicago, IL, USA) or Prism (GraphPad Software, Inc., La Jolla, CA, USA). A P-value <0.05 was considered to indicate a statistically significant result. The χ2 test was used to analyze the correlation between CD68 and FOXQ1 expression.
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2

Comparing N-cadherin Expression in Cancer

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N-cadherin expression in cancer tissues and control subjects were compared by a standard 2-tailed t test and Mann–Whitney U test using SPSS statistical package (16.0, Chicago, IL). The data are expressed as mean ± standard deviation (SD) of the mean as indicated. P< 0.05 was considered statistically significant.
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3

Statistical Analysis of Data

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Unless otherwise specified, the Student's t test was conducted to analyze significance of data using SPSS statistical package (16.0, Chicago, IL). The data are expressed as mean ± standard deviation (SD) or standard error of the mean (SEM) as indicated. P <0.05 was considered statistically significant.
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4

Quantifying Metabolic Changes in Surgical Obesity

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All continuous variables are expressed as mean ± standard deviation and categorical data as absolute numbers and percentages. Normality of distribution of data was tested using the Kolmogorov–Smirnov test. Comparisons between continuous variables were performed with the independent or paired samples Student t test or the Mann–Whitney U test and correlations with the Pearson or Spearman correlation coefficient, wherever appropriate. Comparison between the groups of patients and controls was performed using analysis of variance with appropriate correction for multiple comparisons using Tukey post hoc testing.
Differences between the presurgical and postsurgical 18F-FDG uptake in the carotids, the PAT, the VAT, the SAT, the BAT, and between the presurgical and postsurgical BMI are given as delta (Δ). All statistical analyses were performed using SPSS statistical package 16.0 (SPSS Inc, Chicago, IL).
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5

Statistical Analysis of Experimental Findings

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The data are expressed as mean ± standard deviation (SD) or standard error (SE) of the mean as indicated. Statistical significance of differences between the results was assessed using a standard 2-tailed t test and Mann–Whitney U test, conducted using SPSS statistical package (16.0, Chicago, IL). P < 0.05 was considered statistically significant.
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6

Comparing Gene Expression in Tumor Tissues

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SPSS statistical package (16.0, Chicago, IL) was used to compare gene expression difference between tumor tissues and control subjects by two-tailed t-test and Mann–Whitney U test. The data are expressed as mean ± standard deviation (SD). P < 0.05 was considered statistically significant.
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7

Statistical Analysis of Experimental Data

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All values are expressed as the mean ± standard error of means (SEM). Three independent experiments were conducted for each assay. Data were compared using the Student's t‐test or analysis of variance (ANOVA; SPSS statistical package 16.0, Chicago, IL, USA). Significance was determined with Tukey simultaneous post hoc test. A P < 0.05 is considered to be statistically significant.
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8

Comparative Statistical Analysis of Data

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Student's t-test, two-way ANOVA with Bonferroni post-test, and one-way ANOVA with Dunnett's post-test were used for comparing the data using SPSS statistical package (16.0, Chicago, IL). The data were expressed as mean ± standard deviation (SD). P <0.05 was considered statistically significant.
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9

Statistical Analysis of Experimental Data

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Data were analyzed by one-way analysis of variance. The results were compared using the least-significant difference method in the SPSS statistical package 16.0 (SPSS Inc., Chicago, IL, USA). The p values less than (<) 0.05 were considered significant.
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10

Statistical Significance Analysis of Results

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Statistical significance of differences between the results was assessed using a standard 2-tailed t test and Mann–Whitney U test, conducted using SPSS statistical package (16.0, Chicago, IL). The data are expressed as mean ± standard deviation (SD) of the mean as indicated. P < 0.05 was considered statistically significant.
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