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Prism 8 for mac

Manufactured by GraphPad
Sourced in United States

Prism 8 for Mac is a data analysis and graphing software for scientific research. It provides tools for data organization, visualization, and statistical analysis. The software can be used to create a variety of chart types and perform common statistical tests.

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21 protocols using prism 8 for mac

1

Comparative Statistical Analysis of Survival

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All statistical analyses were performed using GraphPad Prism 8 for Mac (Version 8.1.0; GraphPad Software, San Diego, CA, USA). Data comparison among groups was performed by ordinary One-Way ANOVA, with multiple comparison performed by Tukey’s or Dunnett’s correction test, for comparison of every group or to control, with a single pooled variance. Survival experiments data were analyzed by the Mantel-Cox test to determine the differences among groups.
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2

Canine Cardiac Biomarker Evaluation

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For continuous data, normality was assessed graphically and using a Shapiro‐Wilk test. Categorical data were compared using a Chi‐square or Fisher's exact test. Serum concentration of cTnI, body weight, sex, age, and rectal temperature were compared across the 3 groups using Kruskal‐Wallis tests, with post hoc pairwise Mann‐Whitney U tests for between‐group comparisons with Bonferroni corrections. Receiver operator characteristic (ROC) curve analysis was performed to produce a range of cutoff values for serum cTnI concentration to discriminate dogs with IE from those with MMVD and IMD. Finally, Cox proportional hazards analysis was performed to explore associations between serum cTnI concentration and survival time in patients with IE. All statistical analyses were performed using commercially available software (IBM SPSS 26 for Mac 10, IBM (UK) Ltd, Portsmouth; GraphPad Prism 8 for Mac, GraphPad Software Inc., San Diego, CA); all tests were 2‐tailed and significance was set at P < .05.
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3

Analyzing Redox Biomarkers with GraphPad Prism

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The statistical package GraphPad Prism 8 for Mac (GraphPad Software, La Jolla, CA, USA) was used for data analysis. The distribution of results was checked using the Shapiro-Wilk test and the Kolmogorov–Smirnov test. Due to the lack of normality of the distribution, we used a non-parametric analysis of variance called the Kruskal–Wallis test. The Dunn test was used for multiple comparisons and multiplicity-adjusted p value was calculated. The Mann–Whitney U test was performed to analyze differences between the two groups. The Pearson’s correlation coefficient was used to assess the correlation between the dependent variables. The assessment of the diagnostic utility of redox biomarkers was based on ROC (Receiver Operating Characteristics) curves. The maximum area under curve (AUC), with values from 0 to 1, is a parameter that determines the discriminatory power of the test. The results for p < 0.05 were considered statistically significant.
The number of patients was set a priori based on the pilot study. For this purpose, an online sample size calculator (ClinCalc) was used. The minimum number of patients was 37 (level of significance = 0.05; power of study = 0.9).
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4

Statistical Analyses of Experimental Data

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Statistical analyses were performed using SPSS version 18.0 (IBM, Armonk, NY, USA) and GraphPad Prism 8 for Mac (GraphPad Software Inc., La Jolla, CA). The Kruskal-Wallis test was used to determine the significance between group comparisons, and Dunn's multiple comparison test was performed for post hoc pairwise comparisons. P < 0.05 was used as the threshold to demarcate statistical significance.
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5

Metabolic Changes in Aging Skeletal Muscle

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All statistical analyses were performed using GraphPad Prism 8 for Mac (GraphPad, La Jolla, Ca, USA). Data are expressed as mean ± SD. Data from the SIE study was analyzed using Mann-Whitney U tests to compare the metabolites at baseline (young vs old). Kruskal-Wallis test was used to analyze the effects of time after SIE on metabolite levels within age groups followed by post hoc Dunn’s test with baseline serving as the control condition. Data are presented as mean ± standard deviation (SD) and the significance of all tests was set at P < .05.
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6

Statistical Analysis of Salivary Gland Imaging

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Descriptive statistics were used to present participant characteristic variables. All variables were tested for normality using the Shapiro-Wilk test. For TVD, LVD and SVD a paired t-test was used and for the comparison between diameters an unpaired t-test was used. A 2-sided p-value of < 0.05 was considered significant. A Wilcoxon signed-rank test was used to assess Massey image quality scoring. A chi-square test was used to compare the percentage of the number of salivary gland associated video clips in each group. Variables were analyzed using SPSS, version 25 for Mac (IBM Corp., Armonk, NY, USA) and GraphPad Prism 8 for Mac (GraphPad, San Diego, CA, USA).
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7

Glenoid Retroversion Correction Protocol

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Based on previously published data concerning the correction of glenoid retroversion,20 (link) an a priori power analysis was calculated to detect a significant change between pre- and postoperative time points using the freely available software G*Power 3 (Erdfelder, Faul, Buchner, Lang, HHU Düsseldorf, Düsseldorf, Germany). A sample size of at least 8 shoulders with an α = .05 for a power of 95% was established to detect a change between 2 time points (2-sided t test for dependent samples). Normal distribution of the data was tested using a Kolmogorov-Smirnov test. Parametric (paired t test) or nonparametric tests (Wilcoxon signed rank test) were applied to compare pre- and postoperative data. Reliability was evaluated using intraclass correlation coefficients and a 2-way mixed-effects model assuming a single measurement and absolute agreement. The significance level was set at .05, and the results are reported as mean ± SD if not stated otherwise. The statistical analyses were computed using GraphPad Prism 8 for Mac (Graph- Pad Software) and SPSS Version 23 (IBM Corp).
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8

Comparative Growth Media Analysis

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Statistical analysis was performed using Prism8 for Mac (Graph Pad, San Diego, CA, USA). One-way ANOVA with Holm–Sidak’s multiple comparison test were used for statistical comparisons of media growth within each isolate. Bar graphs represent the mean ±SEM and all comparisons with p ≤ 0.05 were considered significant.
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9

Comparative Analysis of Cellular Responses

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Data are presented as the mean ± SEM. Statistical analysis was performed using one-way ANOVA with a post hoc test using Fisher’s LSD method for multiple comparisons, using Prism 8 for Mac (GraphPad, San Diego, CA, USA). Differences were considered statistically significant at p < 0.05 and are indicated by letters in the figures (a > b > c).
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10

Statistical Analysis of Experimental Data

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Statistical analyses were performed using Prism 8 for Mac (GraphPad Software Inc, San Diego, USA). Data comparison between two conditions was performed utilizing the Student’s t-test. Unless otherwise stated, data are displayed as the mean ± standard error of the mean (SEM). All figures indicate statistical significance using these designations: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, and ns for non-significance.
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