All experimental results were analyzed with GraphPad 5.0 Prism software and presented as the mean ± standard error of the mean (SEM). A two-tailed unpaired comparison t-test was utilized for comparing differences between two experimental groups. To compare more than two groups, we used a one-way analysis of covariance (ANOVA). The significance level was considered at P < 0.05.
5.0 prism
Manufactured by GraphPad
Sourced in United States
GraphPad Prism 5.0 is a data analysis and graphing software designed for scientific and medical research. It offers a suite of tools for visualizing, analyzing, and presenting data across a range of scientific disciplines. The software provides a user-friendly interface and a comprehensive set of statistical tests and curve-fitting options to help researchers interpret their findings.
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Lab products found in correlation
Spss version 20, by IBM (2 mentions)
Celltiter glo luminescent cell viability assay, by Promega (1 mentions)
Envison 2102 multilabel reader, by PerkinElmer (1 mentions)
Igor pro 6.22a, by Wavemetrics (1 mentions)
Operetta high content screening system, by PerkinElmer (1 mentions)
Harmony 3, by PerkinElmer (1 mentions)
Echo 550, by Beckman Coulter (1 mentions)
Epigallocatechin gallate (egcg), by Merck Group (1 mentions)
Meo suc ala ala pro val p nitroanilide, by Merck Group (1 mentions)
Sigmaplot 12, by Merck Group (1 mentions)
Prism 5, by GraphPad (1 mentions)
33 protocols using 5.0 prism
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Immunogenicity Data
3
In Vivo PsV Challenge Analysis
4
Statistical Analysis of In Vitro Data
5
Comparative Statistical Analysis of Datasets
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All statistical analyses of the data were carried out using GraphPad 5.0 Prism software. All of the results were represented as the mean ± standard derivation (SD) from three independent experiments. * represents p-value <0.05; ** represents p-value <0.01; *** represents p-value <0.001 by Student's t-test.
6
Detailed Statistical Analysis Protocol
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The independent experiment was performed at least three times. The results are shown as mean ± standard deviation (SD). All statistical analyses of the data were carried out using GraphPad 5.0 Prism software. Two groups were analyzed using statistical methods, including Student’s t-test, and other groups by one-way ANOVA with or without Tukey–Kramer multiple comparisons. In all cases, a p value < 0.05 was regarded as statistically significant and marked with an asterisk (*). All results are representative of three replicate experiments (ns, no significance).
7
Comparative Analysis of 2-ClHDA Effects
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Data are presented as means ± SD. To test differences in groups, statistical significance was determined by one-way ANOVA with Bonferroni correction (using the GraphPad 5.0 Prism package) as indicated. All values of p ≤ 0.05 were considered significant. * p < 0.05, ** p < 0.01, *** p < 0.001; * compared to vehicle; # compared to the same concentration of 2-ClHDA.
8
Triplicate Experimental Analysis with Significance
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All experiments were performed in triplicate and repeated at least three times. Data are presented as mean + SD unless otherwise stated. Statistical significance was determined by one-way ANOVA with Bonferroni correction using GraphPad 5.0 Prism. Values of p ≤ 0.05 were considered significantly different.
9
Albumin Levels and Platelet Adhesion
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Differences in groups (low, physiological, and high albumin) were determined by means of one-way ANOVA for repeated measurements with Bonferroni’s multiple comparison test (using the GraphPad 5.0 Prism package). Paired t-test was used to evaluate platelet adhesion measurements on the CPA. All p-values of ≤ 0.05 were considered statistically significant. *… p ≤ 0.05, **… p ≤ 0.01, ***… p ≤ 0.001.
10
Comprehensive Statistical Analysis of Biological Experiments
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All experiments were repeated three independent times, unless specified and the statistical analysis was done using the GraphPad 5.0 Prism software. To test for statistical significance, the student's t-test and a two-way analysis of variance (ANOVA) was used followed by a post hoc Bonferroni's multiple comparisons test to analyze significance compared to the control. A value of p<0.05 was considered significant. Where applicable, replicate values were expressed as a mean ± the standard error of the mean (SEM).
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