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Prism 8 statistical software

Manufactured by GraphPad
Sourced in United States

GraphPad Prism 8 is a statistical software designed for data analysis and graphing. It provides a wide range of statistical tests and tools for researchers, scientists, and data analysts to analyze their experimental data and create high-quality graphs.

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10 protocols using prism 8 statistical software

1

Effects of BDNF on Adipose Tissue

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All data were presented as mean ± SEM and were analyzed using Prism Statistical Software 8 (GraphPad Prism, La Jolla, CA, USA). Food intake, changes in body weights and body composition, and plasma parameters between icv saline and BDNF treatment groups from the first cohort were compared using unpaired two-tailed t-tests. NE concentration and NETO of intact adipose tissues of icv saline-treated rats from the second cohort were compared using a one-way analysis of variance (ANOVA) followed by Tukey’s post hoc tests. NE concentration, NETO, protein and gene expression of the same type intact and denervated adipose tissues from the second cohort were compared using a two-way ANOVA with innervation and icv treatment as independent variables, followed by Tukey’s post hoc tests. Differences for all tests were considered statistically significant if p < 0.05.
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2

Comprehensive Statistical Analysis of Experimental Data

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Data management and calculations were performed using PRISM Statistical Software 8 (GraphPad Software). The specific statistic tests were detailed in the figure legend and Supp. Table 2. Generally, two-tailed unpaired student t-tests were used to compare two groups. One-way analysis of variance (ANOVA) followed by Tukey’s post-hoc tests were used to compare multiple groups. Two-way repeated ANOVA followed by Dennet’s post-hoc tests were used for Sholl analyses. A p-value < 0.05 was considered to be statistically significant and the following notations were used in all figures: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, and **** for p < 0.0001. For Sholl analysis graphs, error bars shown were standard error of the mean (SEM). For all other graphs, error bars shown were standard deviation (SD).
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3

Statistical Analysis of Genotypic Differences

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Data management and calculations were performed using PRISM Statistical Software 8 (GraphPad Software, Inc, California). We used t-test or mixed analyses of variance (ANOVA) followed by multiple comparison tests with Sidak’s correction to compare genotypes individually. Factor dependent p values are reported in the figure legend. Generally, a p value < 0.05 was considered to be statistically significant and the following notations were used in all figures: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, and **** for p < 0.0001. For all bar graphs, error bars show standard deviation (SD). XY graphs show the standard error of the mean (SEM).
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4

Diagnostic Potential of miRNA Biomarkers in Diabetes

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Descriptive statistics were expressed using the mean ± standard deviation (SD). The Kruskal–Wallis test was used to determine if there were statistically significant differences between clinical and demographic variables. The correlation of miR-148b-3p and miR-27a-3p with biochemical variables was evaluated by Spearman correlation. The relative expression levels of miR-148b-3p and miR-27a-3p were calculated by using the 2−∆∆CT method among the three patient groups. Receiver operating characteristic (ROC) curve analysis and comparison of the derived area under the curve (AUC) was performed to evaluate the possible roles of miR-148b-3p and miR-27a-3p in the diagnosis of diabetes and pre-diabetes from healthy controls. The Wilson-Brown model in GraphPad prism software was used for ROC curve analysis. All analyses were performed using GraphPad Prism 8 Statistical Software (GraphPad Software, La Jolla, CA, USA). P-values less than 0.05 were considered statistically significant.
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5

Multivariate Analysis of Cellular Responses

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All data are reported as medians with interquartile range or mean ± standard error of mean. Statistical analysis was performed using the GraphPad Prism 8 Statistical Software (GraphPad Software, San Diego, CA). The number of subjects required for each of the assays was estimated using power analysis (set at 80% and α = 0.05). Nonparametric statistics were used for all the subgroups that deviated from normality based on the Shapiro-Wilk test. To test the differences between the two independent groups, Mann-Whitney U-test (Fig. 1) was used. To test the difference between the 1 day and 4-day time points, the two correlated groups were compared using Wilcoxon Signed-Rank test (Fig. 1). To test the differences between the normally distributed multiple independent groups were first analyzed using one-way ANOVA followed by post hoc Tukey’s test for multiple comparisons (Figs. 2, 3, 69). For all others, the independent groups were first analyzed using the Kruskal–Wallis one-way ANOVA followed by the Dunn’s test for multiple comparisons (Figs. 4, 5). Significance was established at p ≤ 0.05.
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6

Statistical Analysis Workflow for Experimental Data

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Statistical analysis was done using GraphPad Prism 8 Statistical Software (GraphPad Software, San Diego, CA) and SAS Software, version 9.4, of the SAS software for Windows (SAS Institute Inc., Cary, NC). The number of subjects required for individual set of experiments was estimated using power analysis (set at 80% and α = 0.05). The summary graphs are reported as means ± standard errors of means (SEMs) or medians with the interquartile range (IQR). Traces in Figure 1 and Figure 2 are reported as means ± SEM, while the traces in Figure 3 and Figure 4 are reported as medians without IQRs, for simplicity. All the experiments contain cells originating from at least three independent experimental runs/culture preparations. Student’s t-test (pooled variances) was used for the experiments comparing the two independent groups conforming to normality based on Shapiro-Wilk test for normality (Figure 1, Figure 2, Figures S1 and S3). For data sets containing groups that deviated from normality, nonparametric statistics were used, with multiple independent groups analyzed using Kruskal−Wallis one-way ANOVA (KWA) followed by Dunn’s test (Figure 3 and Figure 4). The significance was established at p < 0.05.
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7

COVID-19 Prognostic Factors Analysis

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Continuous and categorical variables were presented as mean ± standard deviation or median (interquartile range [IQR]), as appropriate. Categorical variables were presented as n (%). Event frequencies were compared between the survivor and non-survivor groups wherever necessary with a chi-squared test calculator (P-value). The optimal D-dimer cutoff point and C-statistic of routine tests both on admission and during hospital stay were evaluated by receiver operator characteristic (ROC) curve. Age-adjusted D-dimer cutoff for patients aged over 50 was used to generate the ROC to evaluate the impact of false positives. The outcomes were compared by Kaplan-Meier survival analysis. Hazard ratio (HR) and 95% confidential interval (95% CI) were calculated by log-rank tests. Kaplan-Meier survival analysis was also compared for survivors and non-survivors in patients with co-morbidities. A value of P < 0.05 was accepted as statistically significant. The statistical software package GraphPad Prism 8 statistical software (version 8.4.3, San Diego, CA) was used for analysis.
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8

Statistical Analysis of Experimental Data

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Statistical analyses were carried out using Prism8 Statistical Software from GraphPad Prism 6.0 (GraphPad Software, Inc., La Jolla, CA). Shapiro–Wilk test was performed to check the normality of the data. The one-way test was employed to compare three groups of data, while the Student’s t-test was used to assess the occurrence of significant differences between the two sets of data. All data were expressed as mean (M) ± standard deviation (SD). Significance was set at p < 0.05.
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9

Statistical Analysis of Experimental Data

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All quantitative results are presented as means ± SE. Data were subjected to Student’s t test or 2-way ANOVA with Tukey’s HSD post hoc test where appropriate, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Statistical analysis was performed using Prism 8 Statistical Software (GraphPad, San Diego, CA).
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10

Statistical Analysis of Experimental Data

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Prism 8 statistical software (GraphPad Software, La Jolla, CA, USA) and IBM SPSS Statistics 22.0 (IBM Corp., Armonk, NY) were used for the statistical analysis. All the experimental data are from three independent experiments. The data shown are mean ± standard deviation (SD) and differences with p < 0.05 were considered to be statistically signi cant.
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