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8.0 statistical software

Manufactured by GraphPad
Sourced in United States

GraphPad 8.0 is a statistical software package designed for data analysis and visualization. It provides a range of statistical tests and tools to help researchers and scientists analyze their data. The software is user-friendly and offers a variety of features to meet the needs of diverse research fields.

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Lab products found in correlation

9 protocols using 8.0 statistical software

1

Statistical Analysis of Experimental Data

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All experiments were repeated at least three times. GraphPad 8.0 statistical software (GraphPad Software, San Diego, CA, USA) was used for statistical analysis, and the results were expressed as mean ± standard error (SEM). Student’s t-test was used to compare the two sets of data. And one-way analysis of variance (ANOVA) followed by Tukey’s test was used to compare more than two groups. * p < 0.05 indicated significant difference, ** p < 0.01 indicated very significant difference, and ns indicated no significant difference.
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2

Comparative Analysis of Experimental Treatments

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All results are presented as mean ± standard error of the mean (SEM). Data were analyzed using the GraphPad 8.0 statistical software (San Diego, USA). The Shapiro–Wilk test was used to evaluate the normality of the data distribution. For normally distributed data, the unpaired Student’s t-test (for comparing two groups) or one-way analysis of variance (ANOVA; for comparing multiple groups) was used to assess significance. For non-normally-distributed data, the Mann–Whitney U-test was used for analysis. Differences between groups were considered significant at P < 0.05.
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3

Prognostic Factors in MRTK Analysis

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All bioinformatics analyses involved in this research were conducted using the R software (version 3.6.3). The relationship between risk score and clinicopathological features was demonstrated using the Chi-square test. Moreover, the independent prognostic factors for MRTK identified the clinicopathological features by univariate and multivariate Cox regression analyses. GraphPad8.0 statistical software was used for data analysis of mRNA and protein expression. The t-test was used to compare the difference between the tumor and paratumor groups. p < 0.05 was considered statistically significant unless specified.
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4

Statistical Analysis of Experimental Data

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All data were processed by GraphPad 8.0 statistical software, and the measurement data were expressed as mean ± standard deviation. The comparison between two groups was analyzed by t-test. NS represented no statistical significance, p<0.05 indicated statistical significance, p<0.01 indicated highly statistical significance and p<0.001 indicated extremely statistical significance.
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5

Rigorous Statistical Analysis of Experimental Data

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All the experimental data were calculated and presented as the mean ± standard deviation of at least three independent experiments. Statistical analyses were performed using GraphPad 8.0 statistical software (La Jolla, CA, US). Experimental data obtained were analyzed using a one-way or two-way ANOVA of variance followed by Tukey’s multiple-range tests for significance. A statistically significant difference was considered under the situation of P < 0.05.
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6

Statistical Analysis of Experimental Data

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Data from this study were presented as the mean ± standard deviation (SD) and were statistically analysed by one-way analysis of variance (ANOVA) using GraphPad 8.0 statistical software. A P value of <0.05 was considered to indicate a statistically significant result. All experiments were repeated at least three times.
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7

Statistical Analysis of Experimental Data

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GraphPad 8.0 statistical software (GraphPad, San Diego, CA, USA) was used for all data and statistical analysis. Intergroup differences were analyzed by two-sided unpaired Student’s t-test or one-way analysis of variance (ANOVA) and Tukey’s post hoc test following a normal distribution test. The Student’s t-test and ANOVA data were used for statistical significance analyses; p values < 0.05 indicated significant differences.
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8

Statistical Analysis of Experimental Data

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All evaluators were blinded to the assignments, and all data were used for analysis. Data were shown as mean ± standard deviation (S.D.). Statistical analysis was performed using GraphPad 8.0 statistical software. Normality and homogeneity of variance were tested at first. For comparison between the two groups, an unpaired t-test was employed according to the homoscedasticity of variances, and Mann Whitney test was applied to the non-normally distributed data. For comparisons among multiple groups, one-way ANOVA followed Tukey’s multiple comparisons test was applied to the normally distributed and homogeneous data, and Kruskal-Wallis’s test was applied to the non-normally distributed data. P values less than 0.05 were considered statistically significant.
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9

Diabetic Complications and Hp Phenotypes

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Qualitative and quantitative data collected from diabetics with or without complications, and control subjects were presented as frequencies/percentages and the mean ± SD (standard deviation) respectively. The distributions of Hp phenotypes among the groups were represented using bar graphs. Comparison of quantitative normally distributed data between the polymorphism groups were analyzed using student 't' and one way analysis of Variance (ANOVA) tests, p-value was considered statistically significant when it is less than 0.05. GraphPad 8.0 statistical software was used for the analysis.
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