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Prism 8.0 for windows

Manufactured by GraphPad
Sourced in United States

GraphPad Prism 8.0 for Windows is a data analysis and graphing software. It provides tools for organizing, analyzing, and visualizing data. The software supports a range of statistical tests and allows users to create publication-quality graphs.

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49 protocols using prism 8.0 for windows

1

Embryo Development Statistical Analysis

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All statistical analyses were performed using GraphPad Prism 8.0 for Windows (GraphPad Software, San Diego, CA). Embryo development data were arcsine transformed prior to statistical analysis. All experimental data were tested for normality to determine whether a parametric or non-parametric test should be used. Statistical analyses were performed using a Student’s t-test as described in the figure legends. A P-value < 0.05 was considered statistically significant.
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2

Evaluating Kidney Function Biomarkers

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p values < 0.05 were considered statistically significant. While data are shown as means ± standard deviation score (SDS), differences for continuous variables were analyzed with independent sample t test, if normally distributed, and with the Mann–Whitney test in the case of non-normally distributed variables. By linear regression analyses we assessed the relationship between HC/BC calculated on the basis of mbSCr, and HC/BC calculated on the basis of ebSCr (both using ABC and ABC-cr or ABC-advanced formulas). Moreover, correlations between HC/BC calculated on the basis of mbSCr and HC/BC calculated on the basis of ebSCr (both using ABC and ABC-cr or ABC-advanced formulas) were assessed by Pearson test.
To evaluate the percentage of agreement in AKI classification (yes/no) by ebSCr and mbSCr, kappa statistics was used.
Bland–Altman plots were used to show the agreement between the HC/BC ratio calculated by using mbSCr or ebSCr as the denominator.
The area under receiver–operating characteristic (AUROC) of HC/BC ratio calculated on the basis of ebSCr (both using ABC and ABC-cr or ABC-advanced formulas) toward presence of AKI, was evaluated. The AUROC were compared using the Hanley and McNeil test [17 (link)]. SPSS 25 software and GraphPad Prism 8.0 for Windows were used for all the statistical analyses.
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3

Comparative Analysis of Cellular Responses

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Data are showed as mean ± SD. All calculations and statistical analyses were performed using GraphPad Prism 8.0 for Windows (San Diego, CA). Student’s unpaired t-test was used to determine the statistical significance of the two groups. For multivariate data analysis, ANOVAs were used instead. p value of less than 0.05 (95% CI) was considered to be statistically significant. All in vivo and in vitro experiments were performed at least three times.
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4

Sepsis Prognosis Evaluation Using SPSS

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Data generated was organized in Microsoft Excel, and statistical analysis was carried out using IBM Statistical Package for the Social Sciences (SPSS) for windows version 25.0 (IBM Corp., Armonk, N.Y., USA) and GraphPad prism 8.0 for windows (GraphPad Software, California, USA) for analysis.
All results are presented as count or percent or both (n, (%)) for categorical variables and (mean ± SD) for continuous variables. To compare differences between sepsis and non-sepsis groups, as well as ICU survivors and non-survivors, Shapiro–Wilk test was first used to test the distribution of data, subsequently, the Mann–Whitney U-test was used. The nonparametric Spearman correlation coefficient was used to denote the magnitude and direction of correlation between different variables. All statistical tests were two-tailed and a probability value (p) less than 0.05 was considered significant.
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5

Effect of Drugs on Stress-Induced Behavioral and Physiological Changes

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The statistical analysis was performed with GraphPad Prism 8.0 for Windows, GraphPad Software (San Diego, CA, USA). Two-way ANOVA considering the factors “treatment” (vehicle, CVD5, CVD10, and DVS) and “CUS model” (control and CUS) was used to evaluate behavioral data, MPO activity, body weight, and area of cortical and medullary adrenal zones. One-way ANOVA was used to evaluate data on cytokines and corticosterone. In both conditions, a Turkey post hoc test was performed.
Considering that no significant changes in the behavioral evaluations were observed between nonstressed mice treated with the drugs and the control group, we decided to perform the other assessments, i.e., weight changes, MPO activity, serum corticosterone, and cytokines only in the groups exposed to CUS and control, to reduce the number of animals used in the experiments.
All results are expressed as means ± S.E.M (standard error of the mean). Before ANOVA, Kolmogorov-Smirnov (distance) test was conducted to verify the normal distribution of the data. For all analyses, was considered the significance level at α = 0.05.
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6

Behavioral and Physiological Analysis

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Data are reported as the mean ± standard deviation. The data were analyzed using GraphPad Prism 8.0 for Windows (San Diego, CA, USA). Results from behavioral testing were analyzed using ANOVA for repeated measures. For all other measures between the 2 groups, the Student’s t-test was used for the comparisons of variables with normal distribution from independent samples. For comparisons among > 2 groups, a one-way ANOVA with Turkey’s multiple comparisons test was applied. Two-way ANOVA followed by Turkey’s multiple comparisons test with repeated measurements was used to determine the interaction between time and two groups. Fisher’s least significant difference test for pairwise comparisons, all statistical tests were two-sided, and p < 0.05 was considered statistically significant.
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7

Statistical Analysis of Biochemical Data

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Statistical analyses were performed with GraphPad Prism 8.0 for Windows (GraphPad Software, La Jolla, CA). All quantitative biochemical data and immunofluorescence staining were representative of at least three independent experiments. One-way ANOVA with Sidak's post hoc or two-tailed unpaired Student's t test was used for multiple comparisons or the mean values between two groups. All data are expressed as the mean ± SEM, and differences with p < 0.05 were considered statistically significant.
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8

Glucose Tolerance Testing in Humans

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Data are expressed as mean ± SEM. Two-way ANOVA for repeated measures with NGT versus IGT groups, sex, and interaction as the independent variables was used to analyze the main variables of interest. Parametric correlation was performed after mathematical transformation of variables that failed the Shapiro-Wilk test to normalize their distribution. Multiple linear regression analyses were performed using a stepwise approach to determine the predictors showing significant independent association, with maximum F value and R2 of the model (see Supplementary Methods). P values of <0.05 were considered statistically significant. The inclusion of 40 subjects allowed for the detection of a correlation of ρ > 0.48 at β = 0.20 and α = 0.05. All statistical analyses were performed using IBM SPSS Statistics 26.0 for Windows (IBM, Armonk, NY) or GraphPad Prism 8.0 for Windows (GraphPad Software, San Diego, CA).
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9

Statistical analysis methods for genotype-treatment phenotypes

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Statistical analyses were conducted with GraphPad Prism 8.0 for Windows (GraphPad Software, San Diego, CA, USA). The significance was set at 95% of confidence. The two-way ANOVA test was used to demonstrate whether the genotype, the treatment, or the interaction between both factors had an impact upon the phenotype. The two-tailed Student’s t-test was performed to compare the means of two groups. The Kolmogorov–Smirnov test served to evaluate the normality of the data distribution. All data are presented as mean values. Throughout the text and in plots, the variability is indicated by the standard error of the mean (SEM).
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10

Statistical Analysis Procedures

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Statistical analysis was performed using GraphPad Prism 8.0 for Windows (GraphPad Software, San Diego, CA, USA). An unpaired, two-tailed t-test was assessed to determine statistical significance between two groups and a one-way ANOVA with the Bonferroni test corrected for multiple comparisons was assessed to determine statistical significance between more than two groups.
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