Statistical analyses were performed with Graphpad Prism 7.0 for Windows. All data were represented as mean ± SEM unless stated otherwise. Statistical analyses included Student’s two-tailed unpaired t-test followed by Welch’s correction and ANOVA followed by Dunnett’s Multiple comparison tests. For all experiments, significance was taken as *P < 0.05, **P < 0.01, ***P < 0.001 and ****P < 0.0001 unless otherwise stated.
Prism 7.0 for windows
Manufactured by GraphPad
Sourced in United States
GraphPad Prism 7.0 for Windows is a data analysis and graphing software. It provides tools for data organization, statistical analysis, and creating publication-quality graphs.
Automatically generated - may contain errors
Lab products found in correlation
Statistical software version 16, by MedCalc (2 mentions)
Spss statistics 25, by IBM (1 mentions)
Spss software version 26, by IBM (1 mentions)
Spss statistics 22.0 for windows, by IBM (1 mentions)
Sigmaplot 11.0 for windows, by Merck Group (1 mentions)
Spss version 25.0 for windows, by IBM (1 mentions)
Statistica software version 13, by StatSoft (1 mentions)
Spss version, by IBM (1 mentions)
Spss 11.0 for windows, by IBM (1 mentions)
Spss for windows version 24, by IBM (1 mentions)
Stata 15, by StataCorp (1 mentions)
Spss for windows version 22, by IBM (1 mentions)
64 protocols using prism 7.0 for windows
1
Statistical Analysis Guidelines for Biological Research
2
Statistical Analysis of Ocular Aberrations
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All statistical analyses were performed using SPSS Statistics 25.0 (IBM, Armonk, NY) and Prism 7.0 for Windows (GraphPad Software, La Jolla, CA). Mean ± standard deviation was used for quantitative variables. Data were tested for normality using the Shapiro–Wilk test. Group comparisons for normally distributed data were made using the paired t-test. The Wilcoxon signed-rank tests were used for non-parametric data. Spearman's rank correlation test was used to analyze the relationship between the decentration and the induced changes in aberrations. P < 0.05 was considered statistically significant.
3
Comparative Statistical Analysis of Experimental Outcomes
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All experiments were repeated twice. Statistical analyses were performed using GraphPad Prism 7.0 for Windows (San Diego California, USA). Analyses of variance were used under the null hypothesis that the means of the different groups were equal. When differences among means were significant, post-hoc Student-Newman-Keuls tests were carried out. In all cases, a p-value of less than 0.05 was considered statistically significant.
4
Quantitative Protein Analysis Protocol
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Data are expressed as the mean ± S.E.M, n = 3–6 in all experiments. GraphPad PRISM 7.0 for Windows (Graph-Pad Software, La Jolla, CA, USA) was used for statistical analysis and graphics production. Effects were considered statistically significant if they had a null hypothesis probability lower than 5% (p ˂ 0.05). Statistical significance of any difference between unpaired data was determined using Student’s test (t-test).
5
Statistical Analysis of Experimental Data
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Two-tailed and unpaired t-tests were conducted in GraphPad Prism 7.0 for Windows (GraphPad Software, Inc., La Jolla, CA, USA) [40 (link)]. Non-significant values have been represented as ns, while *, **, ***, **** indicate p-values < 0.0332, 0.0021, 0.0002 and 0.0001, respectively.
6
Statistical Analysis of Microarray Data
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Statistical analyses were conducted with Prism 7.0 for Windows (GraphPad, La Jolla, CA). All data are expressed as means ± SEM. For microarray data, the statistical significance in fold change was analyzed utilizing the Student’s t test and FDR was calculated to correct the P-value. Differentially expressed lncRNAs and mRNAs were screened using fold changes greater than or equal to 2 as thresholds. For other data [Western Blot (WB), qRT-PCR], statistical significance between the two groups was determined by Unpaired 2-tailed Student’s t test. A value of P < 0.05 was considered statistically significant.
7
Diagnostic Accuracy of NETest for Neuroendocrine Tumors
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The required total sample size (NETs and controls, power 0.8 and α = 0.05) to attain significant differences in NETest scores was calculated to be a minimum of 42 patients/subjects in each group. Intergroup analyses were undertaken using two-tailed non-parametric tests (Mann–Whitney U test). AUROC analysis was used to determine the diagnostic accuracy of the NETest (27 (link), 28 (link), 29 (link)). Metrics calculated included sensitivity and specificity. Prism 7.0 for Windows (GraphPad Software, www.graphpad.com ) and MedCalc Statistical Software version 16.2.1 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org ; 2017) were utilized. Statistical significance was defined as a P value <0.05. Data are presented as mean ± SD.
8
Postoperative Pain Management Protocol
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Data were presented as mean ± SD, median (Q1, Q3), or numbers of patients (%). Quantitative variables were analyzed using the Student’s t test or Mann–Whitney U test, and qualitative variables with the chi-square test or Fisher’s exact test. The time to the first infusion of IVPCA was analyzed by Kaplan–Meier survival analysis with a comparison between groups using the log-rank test. Survival time was defined as the time from the end of the ISB to the first infusion of IVPCA. All data were analyzed using SPSS® software, version 26.0 (SPSS, Inc., USA). Survival curves were plotted using Prism 7.0 for Windows (GraphPad Software, Inc., USA). P < 0.05 was considered statistically significant.
9
Comparative Data Analysis Methods
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Data were presented as mean ± standard error of the mean (SEM). Statistical comparisons were carried out by unpaired Student’s t test or two-way ANOVA with post hoc Sidak’s test. GraphPad Prism 7.0 for Windows was used for data analysis. P < 0.05 indicated statistical significance.
10
Statistical Analysis of Experimental Data
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Two-tailed unpaired t-tests were conducted in GraphPad Prism 7.0 for Windows (GraphPad Software, Inc., La Jolla, CA, USA). Each experiment was performed in triplicate, with error bars indicating standard deviations. Non-significant values are represented as ns, while *, **, ***, and **** indicate p-values < 0.1, 0.01, 0.001, and 0.0001, respectively.
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