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487 protocols using spss software version 13

1

Statistical Analysis of Cytokine Profiles

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The nonparametric tests, Kruskal–Wallis, and Mann–Whitney U, were performed for statistical evaluation of histopathological and immunohistochemical scores. ELISA measurements performed at 3 and 6 h to determine cytokine concentrations were analysed using one-way ANOVA. The data regarding the correlation between cytokine expression and the first and second measurement times were compared among and within each group individually for each cytokine to assess group averages and the standard error. Furthermore, the significance of the group and measurement times were assessed by the repeated measurement analysis of variance. The significance level was determined as p < 0.05. All statistical analyses were performed using the SPSS software version 13.0 (IBM, Armonk, NY, USA).
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2

Spinach Genotype Impacts on Gene Expression

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Significant differences of physiological indices between different samples were calculated using a multiple factor analysis of variance with a LSD test (at a significance level of p < 0.05). Repeated measures analysis of variance was used to test for the effects of spinach genotype on gene expression (p < 0.05). The data are expressed as the mean and the standard deviation (mean ± SD, n = 3). The relationship between nitrate content and gene expression was determined using the Pearson’s correlation analysis. Statistical calculations were performed using SPSS software version 13.0 (IBM, New York, NY, USA).
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3

Predictive Factors for Persistent/Recurrent Disease

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Categorical variables were expressed as frequencies and percentages and analyzed using the Chi-square test with Yates’ correction or Fisher’s test for small samples. Normally distributed quantitative variables were expressed as mean ± standard deviation (SD), while non-normally distributed variables were expressed as median and interquartile range (IQR). Quantitative variables were analyzed by the Student’s t-test or the Mann–Whitney U test. Multiple logistic regression analysis was performed for all variables having significant results at univariate analysis to identify independent risk factors associated with persistent/recurrent disease; some variables with a high rate of missing data were excluded. A p value < 0.05 was considered statistically significant for all analyses. Data analysis was performed using the SPSS software version 13.0 (IBM Corp, Armonk, NY, USA).
Data were collected in an anonymized electronic file. The study was approved by the Gustave Roussy Ethics Committee and the legal tutors of all the patients signed a written consent form for the participation in observational research.
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4

Comprehensive Statistical Analysis of Experimental Data

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Data are presented as the mean ± standard deviation (SD). The data were analyzed using one-way analysis of variance (ANOVA), and the differences between groups were determined using Tukey's HSD post hoc test within Statistical Package for Social Sciences (SPSS) software version 13.0 (IBM Corporation, NY, USA) and Microsoft Excel 2007 (Redmond, WA, USA). A p value < 0.05 was considered statistically significant.
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5

Correlation Analysis of Variables

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Continuous variables were expressed as medians (interquartile ranges [IQRs]) and compared using the Mann–Whitney U-test. Pearson correlation analysis was used to analyze the relationship between different variables. Statistical analyses were performed using SPSS software, version 13.0 (IBM Corporation, Armonk, NY, USA).
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6

Statistical Analysis of Parametric Data

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The data of the current study were analyzed using SPSS software version 13.0 (IBM Corporation, Armonk, NY, USA). Mean differences of parametric values between groups were compared by independent t-test. Mann-Whitney test was used to analyze non-normal distributed data. Based on the two-tailed analysis, results with a P value less than 0.05 were statistically significant ( 2 (link)
).
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7

Statistical Analysis of Experimental Data

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Statistical analyses were carried out using SPSS software, Version 13.0 (IBM, Chicago, IL, USA). Data were analyzed with Pearson’s chi-squared test. Differences with p-values of less than 0.05 were considered statistically significant.
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8

Analyzing Donor Triplicate Data

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All experiments were performed in triplicate for each donor. Data were analyzed using SPSS software version 13.0 (IBM Analytics, Armonk, New York). The normal distribution of the data was tested by the Shapiro–Wilks test. All values were reported as mean ± standard deviation. Statistically significant differences among the groups were determined using two-way ANOVA, followed by a Bonferroni post hoc test. Values were considered significantly different when p<0.05.
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9

Statistical Analysis of Experimental Data

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Data were presented as mean ± standard deviation (SD) from at least three separate experiments. The statistical significance of the differences between groups was assessed using t-test. Statistical analysis was performed using SPSS software version 13.0 (IBM Corp., Armonk, NY, USA). p < 0.05 was considered a statistically significant difference.
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10

Statistical Analysis of Biological Replicates

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All experiments were performed with at least three biological replicates, and the data are presented as the mean ± standard deviation (SD). Student’s t tests or Mann–Whitney U tests were used to identify differences between groups. The Gaussian distribution of the data was confirmed using the Shapiro–Wilk test. One-way analysis of variance (ANOVA) and Kruskal–Wallis tests were carried out for multiple group comparisons. P-values of <0.05 were considered statistically significant. All analyses were performed using SPSS software, version 13.0 (IBM Corporation, Armonk, NY, USA).
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