All measurements were carried out in triplicate, and results were expressed as means ± SD (standard deviation). Statistical analysis was performed using IBM SPSS software v 19. Significant differences between control and cold macerated wines for each cultivar were determined using one‐way ANOVA and Tukey's HSD test for multiple comparisons (IBM SPSS software v 1.9). Principal component analysis (PCA) was applied to phenolic and volatile fractions in order to evaluate differences among samples using XlStat (Addinsoft, NY) software.
Spss software v19
Manufactured by IBM
Sourced in United States
SPSS software v19.0 is a statistical analysis tool developed by IBM. It provides a comprehensive set of features for data manipulation, analysis, and visualization. The software is designed to help users extract insights from data, identify trends, and make informed decisions.
Automatically generated - may contain errors
Lab products found in correlation
Prism 5, by GraphPad (3 mentions)
Prism v6, by GraphPad (3 mentions)
Statistical software version 20, by MedCalc (1 mentions)
Prism 6, by GraphPad (1 mentions)
Prism software v5, by GraphPad (1 mentions)
Spss v 19.0.0, by IBM (1 mentions)
Nsolver analysis software, by NanoString (1 mentions)
V 2008, by Infostat (1 mentions)
114 protocols using spss software v19
1
Comparative Analysis of Cold Macerated Wines
2
Comparative Analysis of Demographic Variables
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The distributions of categorical variable (sex) between the two groups were compared by χ2 test. Independent two sample Student’s t-tests were used to compare the continuous variables (age and education level, etc) and differences in the two groups in pre-test and post-test assessments. Further, the analysis of covariance (ANCOVA) was used to compare the differences between groups while adjusting for sex, age, education level, NPI, and corresponding baseline measurements. Statistical significance was defined as a P-value less than 0.05. The statistical analysis was performed with SPSS software v19.0 (IBM Corporation, Armonk, NY, USA).
3
Smoking impact on cardiometabolic health
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In the PREDATORR study sample, size calculation was performed only for the primary objective (determination of diabetes mellitus prevalence). Non-parametric tests were used for comparisons between smoking status of continuous and categorical variables.
Multivariate analysis by multinomial logistic regressions was performed to assess the association of cardiometabolic and renal parameters (dependent variables) with smoking status (independent variable). Odds ratio (OR) with 95% confidence interval (CI) are provided, and the non-smoker status was considered as a reference category. All analyses were stratified by sex due to the differences in smoking patterns by gender. P values <0.05 (two-tailed) were considered significant. Analyses were performed using SPSS software v19.0 (IBM Corp, Armonk, NY).
Multivariate analysis by multinomial logistic regressions was performed to assess the association of cardiometabolic and renal parameters (dependent variables) with smoking status (independent variable). Odds ratio (OR) with 95% confidence interval (CI) are provided, and the non-smoker status was considered as a reference category. All analyses were stratified by sex due to the differences in smoking patterns by gender. P values <0.05 (two-tailed) were considered significant. Analyses were performed using SPSS software v19.0 (IBM Corp, Armonk, NY).
4
Statistical Analysis of Quantitative Data
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Data in this study were analyzed using professional IBM SPSS software v. 19.0 (IBM Corp., Armonk, NY, USA). The quantitative data (normal distribution) were represented as mean ± standard deviation (SD) and analyzed using Student’s t test between two groups. The categorical data were presented as percentages and analyzed using the χ2 test between groups. Tukey’s post hoc test validated analysis of variance (ANOVA) was used to compare data among multiple groups. A p-value less than 0.05 was considered to indicate a significant difference.
5
Investigating IL-8 and ERK2 in HCC
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Statistical processing was performed using SPSS software v.19.0 (IBM Corp.). Spearman's correlation analysis was used to calculate the correlation between IL-8 and ERK2 expression levels. The χ2 test and Fisher's exact probability test were used to analyze the correlation between IL-8 and ERK2 expression in HCC tissues, and patient clinicopathological features. Survival analysis was performed using Kaplan-Meier curves, and the relationship between IL-8 and/or ERK2 expression and postoperative recurrence, and survival in patients with HCC was determined using the log-rank test. Univariate and multivariate analyses of HCC recurrence and survival were performed using the Cox proportional hazard model to screen for variables. The data are presented as the mean ± standard deviation, and P<0.05 was considered to indicate a statistically significant difference.
6
Investigating miR-29a and COL1A1 Relationship
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Statistical analyses were performed using SPSS software v19.0 (http://www-01.ibm.com/software/analytics/spss/ ). All graphs were made using GraphPad software v5.0. Data from 3 independent experiments are expressed as mean ±SD. Differences between groups were assessed by the 2-tailed t test. The relationship between miR-29a and COL1A1 expressions was assessed by Spearman rank correlation coefficient test. P<0.05 was considered statistically significant.
7
Familial Cluster Serial Interval Analysis
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The epidemic plot of familial clusters was constructed by the day of illness onset. The serial interval distribution (the times of illness onset between index patients and secondary patients) was estimated by fitting a three-parameter lognormal distribution after Anderson-Darling test.
Continuous data were presented as mean ± standard deviation (SD) or median (interquartile range [IQR]) values, and categorical data were described as percentages. To analyze the differences between index or secondary patients from familial clusters and non-clusters patients, we used the Mann–Whitney U test or t-test depending on parametric or nonparametric data for continuous variables and the χ2 test or Fisher’s exact test for categorical variables, as appropriate. A two-tailed p-value <0.05 was considered statistically significant.
Serial interval analysis was performed using Minitab Statistical Software V19 (Minitab LLC.). Statistical charts or boxplots were constructed using Office 2013 (Microsoft) or Prism 5 (GraphPad). Other analyses were performed using SPSS Software V19.0 (IBM Corp.).
Continuous data were presented as mean ± standard deviation (SD) or median (interquartile range [IQR]) values, and categorical data were described as percentages. To analyze the differences between index or secondary patients from familial clusters and non-clusters patients, we used the Mann–Whitney U test or t-test depending on parametric or nonparametric data for continuous variables and the χ2 test or Fisher’s exact test for categorical variables, as appropriate. A two-tailed p-value <0.05 was considered statistically significant.
Serial interval analysis was performed using Minitab Statistical Software V19 (Minitab LLC.). Statistical charts or boxplots were constructed using Office 2013 (Microsoft) or Prism 5 (GraphPad). Other analyses were performed using SPSS Software V19.0 (IBM Corp.).
8
miRNA-23a-3p Regulates Wnt5a Expression
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Data are reported as means±SD and analyzed by SPSS software v19.0 (IBM, USA). All data were checked for normality using Kolmogorov-Smirnov tests. Comparisons were performed using Student's t-test and one-way ANOVA. Correlation between expression levels of miR-23a-3p and wnt5a were performed using Spearman's rank correlation coefficient. Differences with P<0.05 (two-tailed) were considered statistically significant.
9
Comparative Efficacy of Treatment Protocols
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Normally distributed continuous variables are presented as the means ± standard deviation (SD), while non-normally distributed continuous data are presented as medians and interquartile ranges (25-75th). The paired Student's t-test or the Wilcoxon signed-rank test was performed to compare the difference between the diagnosis and following 3-month treatment results within groups. The independent sample t-test or the Mann-Whitney U test was conducted for comparison between groups A and B. χ2 test was performed for the comparison of sex distribution between the two groups. Statistical analyses were performed using the SPSS software v.19.0 (IBM Corp.). P<0.05 was considered to indicate a statistically significant difference.
10
Statistical Analysis of Experimental Data
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All experimental data were subjected to analysis of variance (ANOVA) using the SPSS software v19.0 (IBM Corp., Armonk, NY, USA). The statistical significance of the difference between means was determined using Duncan’s multiple-range test and an independent-sample T test (p < 0.05).
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