Prism statistics

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Prism Statistics is a data analysis and graphing software used for scientific research. It provides tools for curve fitting, statistical analysis, and visualization of data. Prism Statistics is designed to simplify the process of analyzing and presenting scientific data.

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9 protocols using prism statistics

Circulating Glycoproteins as PKDL Biomarkers

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Values for each set of experiment were analyzed by calculating their respective medians and interquartile ranges (IQRs). Data representation was done by Box plots to show Tukey whiskers values, median and IQR. At first, all data sets were subjected for normality test using D'Agostino & Pearson omnibus normality test. Univariate non-parametric ANOVA analysis (i.e., Kruskal Wallis test) was performed and if data represents significant value, post-hoc (dunn) test was implemented for defining differences within each group with p-values smaller than 0.01 were statistically significant. Cut-off value of circulating glycoproteins (PLG and VTN) was determined by using Youden index. Efficiency of levels of circulating glycoproteins (PLG and VTN) and anti-leishmania antibody titer (IgG), for prediction of MAC PKDL and its further progression, were analyzed using receiver operating characteristic (ROC) curves. Sensitivity and specificity values for the same were calculated at different threshold points. Areas under curve (AUC) values were also calculated, which were statistically significant. Statistical analysis was performed using the Graph-Pad Prism statistics software (Graph-Pad Software Inc., San Diego, CA) and SPSS Inc (Chicago, IL).

Jaiswal P., Ghosh M., Patra G., Saha B, & Mukhopadhyay S. (2020). Clinical Proteomics Profiling for Biomarker Identification Among Patients Suffering With Indian Post Kala Azar Dermal Leishmaniasis. Frontiers in Cellular and Infection Microbiology, 10, 251.

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Microbial Analysis of Sardinian Milk

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Microbial counts were calculated as the number of colony-forming units (cfu) per milliliter of sample and reported as log₁₀ cfu/mL. Calculations of standard deviations (SD) were also performed. The mean microbial counts of milk samples collected from two geographical areas of Sardinia were analyzed by Student's t-test using the software GraphPad Prism Statistics vs. 3.00. The significant level of test was set at P<0.05.

Pisano M.B., Deplano M., Fadda M.E, & Cosentino S. (2019). Microbiota of Sardinian Goat's Milk and Preliminary Characterization of Prevalent LAB Species for Starter or Adjunct Cultures Development. BioMed Research International, 2019, 6131404.

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Surgical Skill Evaluation: Global and Procedure-Specific Assessment

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The attending surgeon evaluator was provided with the Global Assessment 5-Point Rating Scale and Procedure-Specific Checklist (Adapted from Martin et al., 1997 and Araujo et al., 2014)^{8 (link),12 (link)} and instructed to observe videos of the participants, which were provided in a randomized manner, without identification of the group assignment. Using the Global Assessment 5-Point Rating Scale, participants were awarded between 1 and 5 points for each category, with low scores awarded for poor performance and high scores for proficiency as described in (Table 1). Participants were also evaluated using the Procedure-Specific Checklist as follows: 1-point for every step performed correctly and 0-points if the step was performed incorrectly or not performed. (Table 2)
Statistical analysis was performed using Mann-Whitney-Wilcoxon and Fischer’s exact tests with significance defined as p<0.008 based on Bonferroni correction for multiple comparisons. All statistical analysis was performed using GraphPad Prism Statistics / Data Analysis software, GraphPad Software inc, La Jolla, CA.

Blumstein G., Zukotynski B., Cevallos N., Ishmael C., Zoller S., Burke Z., Clarkson S., Park H., Bernthal N, & SooHoo N.F. (2020). Randomized trial of a virtual reality tool to teach surgical technique for tibial shaft fracture intramedullary nailing.. Journal of surgical education, 77(4), 969-977.

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Skin Permeation Profiling Protocol

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Data were processed with SkinTools 3 (RiverD International B.V., Rotterdam, The Netherlands) and plotted using the GraphPad Prism Statistics software (GraphPad Software LLC, version 8.3.0, San Diego, CA, USA, 2019). The results obtained for each formulation were averaged to yield a single concentration profile. Normality was assessed using the Kolmogorov–Smirnov statistical test. For parametric data, statistical evaluation was performed by a one-way analysis of variance (ANOVA), and multiple comparisons between groups by a post hoc Tukey test. For non-parametric data, the Kruskal–Wallis test was performed. A probability of p < 0.05 was considered statistically significant. The results are presented as mean ± standard deviation (SD) unless otherwise stated. For the CRS data, the baseline fit contributions of NIA were subtracted from the measurements, and the results are shown as mean ± standard error of the mean (SEM). The IVIV correlations were plotted as mean ± SEM and were calculated using Pearson’s correlation coefficient (R²).

Iliopoulos F., Caspers P.J., Puppels G.J, & Lane M.E. (2020). Franz Cell Diffusion Testing and Quantitative Confocal Raman Spectroscopy: In Vitro-In Vivo Correlation. Pharmaceutics, 12(9), 887.

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Comprehensive Statistical Analysis of Experimental Data

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Data are presented as means ± standard error of the mean (SEM). Data normality was assessed through Shapiro-Wilk test. One-way analysis of variance (ANOVA) was used to analyze data presented in Figs. 1–6. Two-way ANOVA for repeated measures was used to analyze data depicted in Fig. 7. Whenever significant F-values were obtained, Duncan adjustment was used for multiple comparison purposes. GraphPad Prism Statistics was used for the analysis and statistical significance was considered achieved when the value of P was <0.05.

Ferreira J.C., Campos J.C., Qvit N., Qi X., Bozi L.H., Bechara L.R., Lima V.M., Queliconi B.B., Disatnik M.H., Dourado P.M., Kowaltowski A.J, & Mochly-Rosen D. (2019). A selective inhibitor of mitofusin 1-βIIPKC association improves heart failure outcome in rats. Nature Communications, 10, 329.

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Neurological Effects of Compound X

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Data are presented as means ± standard error of the mean (SEM). Data normality was assessed through Shapiro-Wilk’s test. One-way analysis of variance (ANOVA) was used to analyze data presented in Tables 1–3 and Figures 1, 2, 3, 4, 5A–B and D, 6 and 7. Whenever significant F-values were obtained, Bonferroni adjustment was used for multiple comparison purposes. Linear regression was used to assess the association between variables in Figures 5C and 5E. GraphPad Prism Statistics was used for the analysis. Statistical significance was considered achieved when the value of P was <0.05.

Gomes K.M., Bechara L.R., Lima V.M., Ribeiro M.A., Campos J.C., Dourado P.M., Kowaltowski A.J., Mochly-Rosen D, & Ferreira J.C. (2014). Aldehydic load and aldehyde dehydrogenase 2 profile during the progression of post-myocardial infarction cardiomyopathy: benefits of Alda-1. International journal of cardiology, 179, 129-138.

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Western Blot Analysis of Protein Expression

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Results are expressed as the means ± the standard deviation (SD) and were analyzed with the Prism statistics software package version 7.0.0 (GraphPad, San Diego, CA). The densitometric data from the western blot assay were analyzed with one-way analysis of variance (ANOVA) with Tukey’s post hoc test. Differences were considered statistically significant at P < 0.05.

Koo J.B., Nam M.O., Jung Y., Yoo J., Kim D.H., Kim G., Shin S.J., Lee K.M., Hahm K.B., Kim J.W., Hong S.P., Lee K.J, & Yoo J.H. (2017). Anti-fibrogenic effect of PPAR-γ agonists in human intestinal myofibroblasts. BMC Gastroenterology, 17, 73.

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Comprehensive Statistical Analysis Protocol

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Data analysis was performed using Prism Statistics software (GraphPad software 7.03, La Jolla, CA). Statistical analysis was performed using the Kruskal-Wallis test, ANOVA, Wilcoxon rank sum test and receiver operating characteristic (ROC) curve analysis. The data are presented as median values unless specified otherwise. The differences were considered statistically significant if p < 0.05 for two-sided tests.

Yu L., Zhou L., Li Q., Li S., Luo X., Zhang C., Wu B., Brooks J.D, & Sun H. (2018). Elevated urinary LCN2 and MCP1 protein levels in children with congenital ureteropelvic junction obstruction. Journal of pediatric urology, 15(1), 44.e1-44.e7.

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RNA-seq Analysis of Prostate Cancer

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RNA‐seq data were statistically analyzed based on the TCGA and CRPC database.²⁶ PCa patient survival rates were analyzed based on NCBI's Gene Expression Omnibus (GEO). The Prism Statistics (GraphPad) was used for all statistical analysis. Statistical significance, p < .05 (*) and p < .01 (**), was analyzed by Student's t‐test. Data (mean ± SD) represented at least three independent experiments.

Lee C., Chen Y., Hernandez E., Pong R., Ma S., Hofstad M., Kapur P., Zhau H., Chung L.W., Lai C., Lin H., Lee M., Raj G.V, & Hsieh J. (2022). The central role of Sphingosine kinase 1 in the development of neuroendocrine prostate cancer (NEPC): A new targeted therapy of NEPC. Clinical and Translational Medicine, 12(2), e695.

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