The data were analyzed using the statistical program GraphPad Prism v.8 for Windows (San Diego, CA, USA). Two-way ANOVA analysis was used to analyze the effects of age and sex, as well as the interaction between the factors, on each tissue or serum sample. When a statistically significant effect was observed, Tukey’s HSD (honestly significant difference) post-hoc test was used to evaluate the differences between the groups. Differences were considered statistically significant at * p < 0.05, ** p < 0.01, *** p < 0.001, and **** p < 0.0001, with 95% confidence intervals. All results are expressed as the mean ± standard error of the mean (SEM).
Prism v 8 for windows
Manufactured by GraphPad
Sourced in United States
Prism v.8 for Windows is a data analysis and graphing software tool developed by GraphPad. It is designed to help researchers and scientists visualize, analyze, and present their data effectively. The core function of Prism v.8 is to provide a comprehensive suite of statistical and graphing tools to assist in the interpretation and communication of research findings.
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Lab products found in correlation
8 protocols using prism v 8 for windows
1
Age and Sex Effects on Tissue and Serum Analysis
2
Statistical Analysis of Research Data
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GraphPad Prism v.8 for Windows (GraphPad Software, La Jolla, CA, United States) was used for the statistical analysis. For all graphs, error bars represent standard deviations. Independent two-tailed Student’s t-tests were applied for comparisons between two groups. Differences were considered to be statistically significant at p-values < 0.05.
3
Quantifying R. rickettsii in Tick Samples
4
Statistical Analysis of Experimental Results
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Statistical analysis of all the obtained results was performed using GraphPad Prism v.8 for Windows (San Diego, CA, USA). After confirmation of normality of distribution (Kolmogorov–Smirnov test) and the homogeneity of variance (Bartlett’s test), the data were analyzed by one-way ANOVA, while the Tukey post hoc test was used to evaluate differences between the groups. A confidence level of p < 0.05 was considered statistically significant. The data are summarized as mean ± SD.
5
Statistical Analysis of Tumor Growth
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All statistical analyses were performed using Prism v.8 for Windows (GraphPad Software). Analysis of tumor growth curves was conducted using 2-way analysis of variance (ANOVA). Statistical differences between 2 sets of data were determined through a 2-tailed Student’s t test. One-way ANOVA with Tukey’s post hoc test was used to determine statistical differences among 3 or more sets of data. Error bars represent SEM where noted. Asterisks indicate that the experimental P value is statistically significantly different from the associated controls: *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001.
6
Cerebral Ischemia Reperfusion Injury
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All data are expressed as mean ± standard deviation of the mean (SD). All statistical analysis was performed using Prism v8 for windows (GraphPad Software, CA). The criterion for statistical significance was P ≤ 0.05. Distribution of data was assessed using Shapiro-Wilk normality test, prior to statistical analysis. Repeated measure two-way analysis of variance (ANOVA) test was used to determine effect of time and intervention, repair and ligation. Post-hoc Sidak corrected multiple comparison testing was then used to compare within groups against baseline/pre-MCAO, and within time point between groups.
7
Comparative Survival Analysis in Oncology
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Continuous variables were presented as medians and ranges, and categorical variables as frequencies and percentages. An independent two-sample t-test or nonparametric test was used to assess continuous variables between groups, and the chi-square or Fisher’s exact test was used to evaluate categorical variables. The probability rates of PFS and OS were analyzed using the Kaplan–Meier method, and between-group comparisons were performed using log-rank tests. A two-tailed p-value of <0.05 indicated statistically significant differences. All statistical analyses were performed using the SPSS for Windows, v.26 (IBM Corp., Armonk, NY) and GraphPad Prism for Windows v. 8.0 (GraphPad Software, San Diego, CA).
8
Ricin Intoxication Dose-Response Analysis
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The LD50 and LD99 for orally administered ricin intoxication were determined using the Probit analysis of the dose-response data with MiniTab v 17.0 (Coventry, UK). Data from these experiments were normalised to the control prior to the analysis. The replicates for each LD50 determination were pooled for final analysis. The equality of the toxicity curves was determined using a regression model with a comparison of the coefficients of each slope using a chi square test. For signs of intoxication, scores were generated on an accumulative basis for degrees of piloerection and abdominal pinching (Table S1 ) and survival, weights and signs were presented using GraphPad Prism for Windows v 8.0 (San Diego, CA, USA). A Log Rank (Mantel-Cox) test was performed to determine the significance between treatment groups in a window of opportunity and efficacy studies.
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