Parameters or non-parameters in the demographics and clinical examination of all subjects were analyzed by the Student’s t test or Mann-Whitney U test using SPSS software v.22 and statistical significance was considered at P < 0.05. For the diurnal rhythm of some salivary bacteria, further analysis showed that data could not be obviously fit to a cosine function, which could be related to the number of time points and the limited sample size in this study. Similarly, the limited sample size and number of time points reduced the utility of using JTK/MetaCycle (Wu et al., 2016 (link)) for analysis. Therefore, SPSS software v.22 was used for repeated measures (RM) 1-factor ANOVA; the Friedman test; and Tukey, Dunn, and Bonferroni multiple comparison post hoc tests. The relationships between hormones and the diurnal rhythm of some salivary bacteria were analyzed by Pearson correlation tests.
Spss software v22
Manufactured by IBM
Sourced in United States
SPSS software v22.0 is a statistical analysis tool that provides a range of data management and analysis capabilities. It is designed to assist users in organizing, analyzing, and presenting data. The software offers features for data exploration, modeling, and reporting, enabling users to gain insights from their data.
Automatically generated - may contain errors
Lab products found in correlation
Stata statistical software version 15, by StataCorp (1 mentions)
Ideas software, by Merck Group (1 mentions)
Version 15, by MedCalc (1 mentions)
Sx 500, by TOMY (1 mentions)
Spss statistic, by IBM (1 mentions)
Prism v6, by GraphPad (1 mentions)
Prism v5, by GraphPad (1 mentions)
Matlab, by MathWorks (1 mentions)
Prism 8, by GraphPad (1 mentions)
Tibco statistica software, by TIBCO Software (1 mentions)
Jmp 14, by SAS Institute (1 mentions)
Prism 7, by GraphPad (1 mentions)
Spss v22, by IBM (1 mentions)
Snp analyzer 2, by IBM (1 mentions)
Ms excel, by IBM (1 mentions)
Ph meter, by Mettler Toledo (1 mentions)
Elemental analyzer, by Elementar (1 mentions)
243 protocols using spss software v22
1
Diurnal Rhythm of Salivary Bacteria
2
Analyzing Film Oral Sensory Characteristics
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Analysis of variance (ANOVA) was used to detect significant differences among films, and Bonferroni’s multiple comparisons test (p < 0.05) was conducted using GraphPad Prism 7.04 (GraphPad, Inc., San Diego, CA, USA). Spearman’s correlation analysis and principal component analysis (PCA) were used to understand film oral sensory characteristics, physicochemical properties, and the preference of the participants for these films. Spearman’s correlation coefficients were used to determine the relationships at a significance level of p < 0.05 using the SPSS software v. 22 (SPSS, Inc., Chicago, IL, USA). In PCA, varimax rotation on the correlation matrix using the SPSS software v. 22 and Kaiser criterion (eigenvalue > 1) was applied to identify the principal components.
3
Prognostic Significance of ATRX Expression
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Statistical analysis was performed using SPSS software V.22 (IBM, Armonk, USA). The χ² test was used to evaluate the association between ATRX expression and clinicopathological parameters including Age, Gender, T stage, N stage and clinical stage according to AJCC 8th staging system. Progression-free survival (PFS) and overall survival (OS) curves were plotted using Kaplan-Meier method, and the log-rank test was used to compare the differences. P<0.05 was considered as statistically significant.
4
Physicochemical analysis of 3D printed samples
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Descriptive statistics were used to characterize pH, aw, bioactive compounds, and antioxidant capacities of the 3DP samples. Multivariate analysis of variance (MANOVA) simultaneously tested associations among dependent and independent variables. The significance level for all tests was α ≤ 0.05, and the results were analyzed using SPSS software (v.22) (IBM, Chicago, IL, USA). Statistical analysis of texture analysis, particle size distribution and color parameters were performed using “Statistica 12” software (TIBCO, Palo Alto, CA, USA).
5
Survival Analysis of ESCC
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Baseline characteristics were expressed as numbers and percentages. The chi-square test was used to compare the categorical variables. Disease-free survival (DFS) was calculated from the time of surgery to the time of tumor recurrence or death from any cause without evidence of recurrence. Overall survival (OS) was defined as the duration from the time of ESCC diagnosis to death or the time of last living contact. The effects of variables on DFS and OS were determined using the univariate and multivariate Cox proportional hazards models, and the Kaplan–Meier method and log-rank test were performed for survival curve analysis. All statistical analyses were performed using the SPSS software v.22 (International Business Machines Corp., Armonk, NY, USA). A two-tailed p-value of < 0.05 was considered to indicate statistical significance in all analyses.
6
Survival Analysis of Molecular Biomarkers
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Statistical analysis was conducted on IBM SPSS software v22. A chi-square test was used to identify the correlation between molecular grade and clinical parameters. Survival curves were evaluated by the Kaplan–Meier (KM) method, and the log-rank test was done to compare survival distribution between groups. All statistical tests performed were two-sided, with p-values less than 0.05 as the threshold for significance.
7
Metabolite Comparison in Executive Dysfunction
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Each metabolite was compared between patients with executive dysfunction and asymptomatic volunteers. Data are expressed as the mean ± standard deviation. Statistical analyses were performed using the Mann–Whitney U test to identify group differences. The repeated-measures analysis of variance was used to analyze the spectral power in each frequency. All statistical analyses were performed with commercially available software (SPSS software, v. 22; IBM Corp., Armonk, NY; formerly SPSS Inc., Chicago, IL, USA). P <0.05 was considered to indicate statistical significance.
8
Comparative Statistical Analysis of Experimental Groups
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Statistical analysis was performed in IBM SPSS software (v22). The Mann-Whitney test was applied for comparisons between experimental groups and statistical significance was considered for p-values below 0.05 and a fold change of 1.5 (0.67 > ratio > 1.5).
9
Statistical analyses
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In this study, quantitative data were analyzed using SPSS software v22 (IBM, USA) and t-test was performed at a significance level of p<0.05.
10
Statistical Analysis of Continuous and Categorical Variables
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Data are presented as mean (±SD) for continuous variables, and percentages for categorical variables. Logistic regression models, chi-square, or Fisher exact test were used for comparison of categorical variables. SPSS software v. 22 (IBM, Somers, NY) was used for all data analysis.
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