All data were analyzed using SPSS Ver.22.0 (IBM Corporation, Armonk, NY, USA) and GraphPad Prism Ver.7.0 (GraphPad Software, Inc., La Jolla, CA, USA). Student's two-tailed t-test was used to compare the β4 mRNA expression levels between PTC and normal thyroid tissues in TCGA cohort. Correlation analysis between β4 expression levels and clinicopathologic characteristics was performed using a chi-square test (Pearson test and continuity correction test). The impacts of the clinicopathological factors on overall survival (OS) were evaluated using univariate Cox regression analyses. Multivariate Cox regression analyses were performed to determine independent prognostic factors based on the factors that were significant in the univariate Cox regression analyses. The Kaplan-Meier method was used to delineate survival curves. In vitro experimental data were compared between two groups using Student's two-tailed t-tests, and comparisons between three sets of data were analyzed using one-way ANOVA. The data were shown as the mean ± SEM and were obtained from three independent experiments. P<0.05 was considered statistically significant.
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GraphPad Prism version 7.0 is a data analysis and graphing software. It provides tools for curve fitting, statistical analysis, and creating publication-quality graphs and figures.
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68 protocols using prism ver 7
1
Prognostic Role of β4 mRNA Expression in Thyroid Cancer
2
Evaluating Statistical Significance in Biological Experiments
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The data are presented as the mean ± SD of three independent experiments. Statistical analysis was performed using GraphPad Prism Ver. 7.0 (CA, USA). T-tests and ANOVA were used to determine the statistical significance according to the assumptions of the tests. Survival curves were evaluated by Kaplan–Meier analysis. Statistical significance is indicated by P < 0.05. The sample size was chosen referring to the previous studies [22 (link), 23 (link)].
3
Power Analysis for Clinical Study
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A power calculation, based on the data of a previous study [34 (link)], was performed with a power of 0.8 and α = 0.05 (mean 1 = 0.04; STD 1 = 0.084; mean 2 = 0.72; STD 2 = 0.88). The power analysis revealed a minimum sample size of 14 subjects. As program for the power analysis Axum 7 (Mathsoft, Cambridge, Massachusetts, USA) was used.
From the repeated measurements of every subject the mean value was calculated for each measurement and used for statistical evaluation. The Shapiro-Wilk and Kolmogorov-Smirnov test have been used for testing the normality of the data. As these tests were negative the results were evaluated statistically with the non-parametric Mann-Whitney U test for independent variables and the Wilcoxon sign test for related variables. Descriptive statistical data were presented as boxplot graphics and tables. As statistic program served Graphpad Prism Ver. 7.0 (Graphpad, La Jolla, Ca, USA).
From the repeated measurements of every subject the mean value was calculated for each measurement and used for statistical evaluation. The Shapiro-Wilk and Kolmogorov-Smirnov test have been used for testing the normality of the data. As these tests were negative the results were evaluated statistically with the non-parametric Mann-Whitney U test for independent variables and the Wilcoxon sign test for related variables. Descriptive statistical data were presented as boxplot graphics and tables. As statistic program served Graphpad Prism Ver. 7.0 (Graphpad, La Jolla, Ca, USA).
4
Factors Influencing Ovarian Cyst Incidence
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Variables are described using frequencies for categorical variables and with the median and interquartile range (IQR) for quantitative variables. We assessed the association between variables using Wilcoxon’s rank sum test for quantitative variables. Correlations were analyzed using Spearman’s correlation coefficient. Univariate and multivariable regression model analyses were performed to determine the factors that contribute to the number of OCs. All tests were two-sided, and a p-value < 0.05 was considered significant. All statistical analyses were performed using JMP Statistical Software, ver. 11 (SAS Institute, Cary, NC, USA) and GraphPad Prism ver. 7.0 (GraphPad Software, San Diego, CA, USA).
5
Statistical Analysis of Experimental Data
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Graph Pad Prism ver. 7.0 (Graph Pad, Inc., La Jolla, CA), SPSS ver. 22.0 (IBM Corp., Armonk, NY) and Image J 2.0 (National Institutes of Health, Bethesda, MD) were used to process and display data. Mean±standard deviation is the way we used to present data from three independent experiments tested in triplicates. The one-sample Kolmogorov–Smirnov test was used to test whether the experimental data were consistent with the normal distribution. If it were, we used the independent sample t test to analyze the data. If not, we used nonparametric test. The differences in survival curves were tested by the log-rank test or Cox regression. Data were analyzed by two-tailed analysis. p-values less than 0.05 were considered statistically significant.
6
Antioxidant, Cytotoxicity, and Antimicrobial Assays
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The values of antioxidant activity, cytotoxicity, and antimicrobial assays were expressed as mean ± standard deviation of six individual analyses, which are carried out in triplicate. The IC50 values were calculated using the Probit analysis method in the GraphPad prism. The statistical analysis was carried out by the analysis of variance using GraphPad prism ver. 7.0 (La Jolla, CA, USA).
7
Comparing Takayasu Arteritis Prognosis by Age
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We compared the baseline characteristics, including demographic data, hematologic data, serum markers, treatments, and follow-up duration between the TAK >40 and TAK ≤40 groups. Variables are described using frequencies for categorical variables and with the median and interquartile range (IQR) for quantitative variables. We assessed the association between variables using Fisher’s exact test for categorical variables and Wilcoxon’s rank sum test for quantitative variables. The relapse-free survival rate after remission was estimated by the Kaplan-Meier method. The association between the relapse-free survival rate and TAK >40 or TAK ≤40 was evaluated by the log-rank test. All tests were two-sided and a p value <0.05 was considered significant. The Steel-Dwass test was performed for comparisons of multiplex cytokine/chemokine bead assay results in the four groups, i.e., TAK >40, TAK ≤40, HD >40, and HD ≤40. All statistical analyses were performed using JMP Statistical Software, ver. 11 (SAS Institute, Cary, NC, USA) and GraphPad Prism ver. 7.0 (GraphPad Software, San Diego, CA, USA).
8
Nanoparticle-Mediated Therapeutic Delivery
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Values were represented in Mean ± SEM (n = 5). a P < 0.05, b P < 0.01, c P < 0.001 and d P < 0.0001 indicated statistically significant in comparison to control group followed by unpaired t-test of one-way ANOVA (GraphPad Prism ver 7.0).
9
In Vitro Assay and LLNA Analysis
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Data of in vitro assay are expressed as mean ± SD (n = 6). LLNA: BrdU-FCM data are expressed as mean ± SD (n = 4). Statistical analysis was performed via one-way analysis of variance (ANOVA). Post hoc Tukey’s pairwise comparison was performed for comparing between groups. Results were prepared using GraphPad Prism ver.7.0 (GraphPad Software, San Diego, CA). A p value less than 0.05 was considered statistically significant.
10
Statistical Analysis of Experimental Data
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Data analysis was performed using SPSS Ver.22.0 (IBM Corporation, USA) and GraphPad Prism Ver.7.0 (GraphPad Software, San Diego, CA, USA). All data are shown as the mean ± SD and were obtained from three independent experiments. Categorical variables were analyzed using Fisher's exact tests. The mean values of two groups were compared with Student's t-tests. Differences in survival rates among groups were estimated with Log-rank tests. Besides, the Kaplan–Meier method was used to estimate survival rate from survival curves. A two-tailed P-value of <0.05 was considered to be statistically significant. *Indicates P < 0.05 and ** indicates P < 0.01.
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