All statistical analyses were performed in GraphPad Prism 5.0 or SAS (Statistical Analysis System, version 8.0). The differences in antibody responses, lympho-proliferation assays, cytokine production, and percentages of CD4+ and CD8+ T cells were compared with one-way ANOVA. Differences in the comparisons of groups were considered significant at P < 0.05.
Prism 5
Manufactured by SAS Institute
Sourced in United States
Prism 5.0 is a software tool developed by SAS Institute for data visualization and analysis. It provides a range of features for creating high-quality graphs, charts, and plots to effectively communicate data insights. The core function of Prism 5.0 is to enable users to explore, analyze, and present data in a visually engaging manner.
Automatically generated - may contain errors
9 protocols using prism 5
1
Statistical Analysis of Immune Responses
2
OLFM4 Methylation and Expression in Prostate Cancer
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Statistical analyses were performed using GraphPad Prism 5.0 software (La Jolla, CA) or SAS software version 9.1 (Cary, NC). Comparisons of OLFM4 expression were performed with one‐way analysis of variance (ANOVA). Comparisons of OLFM4 gene promoter region methylation levels, prostate sphere or colony formation, xenograft tumor weight and vimentin mRNA expression were performed with Student's t‐test. The relationships between OLFM4 expression and methylation of the OLFM4 gene promoter region were analyzed using Pearson's analysis with open‐source R packages. The univariate and multivariate proportional hazards analysis used in Supporting Information Table S3 . Recurrence‐free survival data were analyzed with Kaplan–Meier plots and the log‐rank test. A p‐value of ≤0.05 was considered statistically significant.
3
Genetic Association Analysis Protocol
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Allele, genotype and haplotype frequencies were obtained by direct counting. Linkage Disequilibrium (LD) and expectations under the Hardy-Weinberg proportions were evaluated using Genepop 3.4. Haplotypes were inferred using the PHASE algorithm with final iteraction increased 10 times [46 (link)]. Allele and haplotype frequencies were compared by Fisher’s exact test and Odds Ratio and genotype frequencies by χ2 test and Odds Ratio. Maternal allelic data was adjusted by ancestry and smoking by logistic regression using stepwise backwards. Clinical and sociodemographic data were analyzed by Fisher’s exact test and Mann–Whitney. Additionally, in order to perform a more complete evaluation of the SNPs associated to adverse outcomes, their frequencies in different populations were obtained from the 1000 genomes database [47 ], the haplotypes were inferred using the software Arlequin 3.5 and the frequencies were compared among populations. The software used were GraphPad® Prism 5.0 and SAS 9.3. A p-value <0.05 was considered statistically significant.
4
Survival Analysis of Experimental Data
5
Comprehensive Statistical Analysis Methods
6
Statistical Analysis of Experimental Data
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Statistical analysis was conducted using Prism 5.04 (SAS Institute, California, USA). Data was analyzed using Student's unpaired t-tests. Values in graphs are expressed as the mean ± standard error of the mean (SEM).
7
Statistical Analysis of Experimental Findings
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Graph Pad Prism 5 and SAS software version 9.3 were used for statistical analyses. P < 0.05 was considered statistically significant.
8
Statistical Analysis of Experimental Data
9
Statistical Analysis of Experimental Data
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All statistical analyses were conducted by GraphPad Prism 5 software and SAS 8.2. The data were presented as means ± standard error of means (SEM). These data were checked for normality and homoscedasticity. The Student's t-test was utilized to conduct comparisons between two groups. Data test among multiple groups was conducted using One-way analysis of variance (ANOVA). Pairwise comparisons between multiple groups were performed using the LSD method. Non-parametric data were represented by median and the data were analyzed by using Kruskal-Wallis analysis of variance. The p values < 0.05 were regarded as statistically significant.
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