英文论文中统计分析的描述方法甄选范文

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英文论文中统计分析的描述方法

Statistical analysis

All results are expressed as mean values ± standard deviation (SD). Data were evaluated by one-way analysis of variance (ANOVA) with the Tukey HSD post-hoc test for comparisons between groups using Statistical Package for the Social Sciences ver. 13 software (SPSS, Chicago, IL). Probability values of less than 5% were considered to be significant.



The non-parametric Kruskal-Wallis test was performed to test for differences between surfaces for each gene, and for changes between the different days of culture. Results were considered significant for p < 0.05.



Quantitative data were expressed as mean±standard error of mean (SEM). Statistical analysis was performed using analysis of variance (ANOVA) followed by Tukey-Kramer multiple comparisons test or unpaired two-tailed student-t-test using GraphPad InStat software. Some data were Natural Log transformed prior to analysis. P<0.05 was considered to be statistically significant.



Data are representative of three or more independent experiments.Statistical significance was assessed using Student’sunpaired t-test. Probability values of less than 0.05 were considered significant and an asterisk identifies such significance in the figures.

Data was analyzed using SPSS Version 15. Mean and SD values were calculated for fold increase by groups, as shown in Figure 2. The complete data are included in Text S4. The mean values of fold increase among groups were compared using student t- test and the Mann Whitney U Test as the variance between groups was high.Statistical tests used were both parametric and non parametric as data was skewed.



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