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253 protocols using prism 5

1

Protein Quantification and Statistical Analysis

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All data are presented as the mean ± standard deviation (SD) of the mean from at least three independent experiments. GraphPad Prism 5.0 and SPSS version 13.0 were used for data processing and statistical analysis. A P < 0.05 was considered statistically significant.
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2

Prognostic Significance of TRIM59 in NSCLC

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In this study, the analyses were performed using GraphPad Prism 5.0 and SPSS 19.0 software. Unpaired comparisons were assessed by a two-tailed t-test. Matched-sample comparisons were performed by a paired t-test. Multigroup analyses were carried out by ANOVA analysis. Associations between TRIM59 expression and clinicopathologic parameters were assessed by χ2 test. The Pearson correlation was used to analyze the strength of the association between expression levels of TRIM59 and the survival or recurrence statuses in NSCLC patients. Survival analysis was performed by using Kaplan-Meier method and differences were tested by a Log-rank test. It was also obtained using the Kaplan Meier Plotter (K-M Plotter) website for lung cancer (v2015) (http://kmplot.com/analysis/index.php?p=service&cancer=lung) (37 (link)) with auto select best cut-off for splitting groups. Univariate and Multivariate Cox proportional hazards regression models were performed to identify the independent factors with a significant impact on patient survival. The hazard ratios (HR) and 95% confidence intervals (95% CI) of the prognostic factors were calculated. All P-values were two-sided, and a significant difference was defined as P<0.05.
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3

Statistical Analysis of Experimental Data

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GraphPad Prism 5.0 and SPSS Statistics 22.0 were applied for data analysis. Comparisons between two groups were assessed using unpaired two-tailed Student’s t test or paired-samples t test. The Mann–Whitney U test or Wilcoxon signed rank test was used for non-normal distribution analysis. The correlation of two variables was determined by the Pearson coefficient. The overall survival (OS) and disease-free survival (DFS) curves of patients were plotted using the Kaplan–Meier method, and statistical differences were verified by a Log-rank test. All statistical tests were two-tailed, and P < 0.05 was considered statistically significant.
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4

Comprehensive Statistical Analysis of Data

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All data were analyzed by GraphPad Prism 5.0 and SPSS 19.0 software. Chi-square test was used to analyze the comparison of counting data, and t test was used to analyze the comparison of measuring data. Kaplan-Meier method was used for survival analysis, and univariate Cox and multivariate Cox regression analysis were used for risk factor analysis. All experiments were repeated three times, and P < 0.05 was considered statistically significant.
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5

Statistical Analysis of Experimental Data

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All the experiments were performed at least in technical triplicate and in three independent biological repeats. Results are represented as the mean ± SD. Two tailed Student’s t-test or Pearson’s analysis (for comparing data from two groups) or one-way analysis of variance (ANOVA) with Tukey’s post hoc test (for comparing data from multiple groups) was used to calculate statistical significance. All values were obtained using GraphPad Prism 5.0 and SPSS 17.0 software. Data are expressed as means ± SD. A value of P < 0.05 was considered to be statistically significant.
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6

Statistical Analysis of Cell Experiments

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Data were presented as mean value ± standard deviation. Cell experiments were performed in triplicate, and at least 3 independent experiments were assessed. All analyses were performed with GraphPad Prism 5.0 and SPSS 19.0 software. Comparisons and correlations of quantitative data between 2 groups were performed by unpaired Student’s t test and chi-square test, respectively. Categorical data were analyzed by Fisher’s exact test. The overall survival (OS) and disease-free survival (DFS) rates were calculated by the Kaplan–Meier method, and survival curves were compared by log-rank test. Values of p < 0.05 were considered statistically significant.
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7

Statistical Analysis of Experimental Data

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Data were expressed as mean ± SD unless otherwise specified and each group was statistically analyzed using t-test or ANOVA. All statistical analyses were performed using GraphPad Prism 5.0 and SPSS 20.0 software. Each experiment was performed three times. Differences were considered statistically significant at P < .05.
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8

Statistical Analysis of Experimental Data

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All statistical analyses were carried out using GraphPad Prism 5.0 and SPSS Statistics software (19.0). Statistical difference between two groups was compared using unpaired Student’s t test. The data were presented as mean ± standard deviation (SD). p-value < 0.05 was considered statistically significant.
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9

Statistical Analysis of Experimental Data

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The data analysis was performed using GraphPad Prism 5.0 and Statistical Package for the Social Sciences (SPSS) statistical software (SPSS Inc., Chicago, IL, USA). All data are presented as the mean ± SD. Differences between groups were analyzed using one-way ANOVA, and p < 0.05 was considered statistically significant.
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10

Statistical Analysis of Experimental Data

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Data were performed and statistical analysis using GraphPad Prism 5.0, SPSS software, version 18.0 for Windows. Variables were expressed as means ± standard deviations, percentage. First, all data were tested using the Kolmogorov‐Smirnov test to determine whether the values were normally distributed. When a variable satisfied the normal distribution, the homogeneity test of the variance was performed. An independent sample t‐test was used when both the normal distribution and the homogeneity of the variance were satisfied. If one of the conditions was not met, the Mann‐Whitney U‐test is used. When comparing the frequencies of categorical variables, we used Pearson's χ2 test. < 0.05 was considered statistically significant. The correlation between two variables was analyzed using Pearson's correlation test.
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