One-way ANOVA followed by Tukey’s HSD post hoc for pairwise comparison of means (at P ≤ 0.05) was used to assess the difference in the sugar conversion of the different enzyme mixtures used to hydrolyze A. donax or corn stover biomass. Statistical analyses were performed using SPSS 13.0 statistical software package (SPSS Inc., Cary, NC, USA).
Spss 13.0 statistical software package
Manufactured by IBM
Sourced in United States
SPSS 13.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data management, statistical modeling, and reporting. The software is designed to help users analyze and interpret data from a variety of sources, including surveys, experiments, and observational studies.
Automatically generated - may contain errors
Lab products found in correlation
18 protocols using spss 13.0 statistical software package
1
Enzymatic Hydrolysis of Biomass
2
Semi-Quantitative Analysis of Melanoma
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Data are expressed as the mean ± SD. SPSS 13.0 statistical software package (SPSS Inc., Chicago, IL, USA) was used to perform the independent samples t-test on the semi-quantitative real-time PCR analysis and cell cycle analysis data, while the paired samples t-test was performed on the western blot analysis data regarding melanoma tissues and surrounding normal tissues. P<0.05 was considered to indicate a statistically significant difference.
3
Evaluation of p53 Expression in ESCC
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The optical density of the western blot signals was quantified using the National Institutes of Health ImageJ software and all statistical analyses were carried out using the SPSS 13.0 statistical software package (SPSS Inc., Chicago, IL, USA). The expression level of p53 was quantified relative to β-actin and the differences between the cancer tissues and adjacent normal tissues in p53 protein expression levels were compared using Student’s t-test. The χ2 test was performed to evaluate the correlation between the clinicopathological features of the patients and the p53 expression level, which was observed by IHC. Kaplan-Meier survival analysis was used to evaluate the patient prognosis and the eight-year survival rate of the ESCC patients was obtained using the life table method. A univariate analysis was plotted using the Kaplan-Meier method and Cox regression analysis was used to evaluate the correlation between risk of ESCC and clinicopathological parameters, including p53 expression. P≤0.05 was considered to indicate a statistically significant difference.
4
NUAK1 and mir204 Expression Analysis
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All statistical analyses were carried out using the SPSS 13.0 statistical software package (Chicago, IL, USA). Comparisons between groups for statistical significance were performed with a two-tailed paired Student's t-test. The χ2 test was used to analyse the relationship between NUAK1 or mir204 expression and clinicopathologic characteristics. Survival curve was plotted using the Kaplan–Meier method and compared by the log-rank test. P<0.05 was considered statistically significant in all cases.
5
Comparative Analysis of Biochemical Markers
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All the data were expressed as the mean ± standard deviation. The statistical analyses were performed using the SPSS 13.0 statistical software package (SPSS, Inc., Chicago, IL, USA), and one-way analysis of variance was used to perform comparisons among the different groups. P<0.05 was used to indicate a statistically significant difference.
6
Investigating AEG-1 Expression and Survival in Patients
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All statistical analyses were performed by using the SPSS 13.0 statistical software package (SPSS, Chicago, IL, USA). Comparisons between groups for statistical significance were performed with a two-tailed paired Student’s t test. The chi-square test was used to analyze association between AEG-1 expression and clinicopathological data. Bivariate correlations between variables were calculated by Spearman’s correlation coefficients, and Scatter was used to represent the relationship between two variables. Survival curves were plotted using Kaplan-Meier method and compared using log-rank test. Survival data were evaluated using univariate and multivariate Cox regression analyses. P < 0.05 was considered statistically significant.
7
Correlation of miR-449a and Cyclin D1 in ESCC
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Statistical analysis was performed with the SPSS 13.0 statistical software package (SPSS, Inc., Chicago, IL, USA). Data are expressed as the means ± standard error of the mean. The non-parametric Spearman's rank-order correlation was used to determine the correlation between miR-449a and cyclin D1 in ESCC tissues. The non-parametric Mann-Whitney U test was used to compare two groups, and one-way analysis of variance followed by a Tukey's post-hoc test was used to compare three or more groups. P<0.05 was considered to indicate a statistically significant difference.
8
Statistical Analysis Methodology
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Data were presented as mean ± SEM(parametric data) or median ± range (non-parametric data). Data were compared by using the student t test for paired and Mann-Whitney U test for unpaired continuous variables and the chi-squared or Fisher's exact test for discrete variables. Survival curves were estimated using the Kaplan-Meier method, and the log-rank test was used to calculate differences between the curves. Independent variables with a P value <0.05 in the univariate analysis were entered into the multivariate cox regression model. The SPSS 13.0 statistical software package was used for the analysis (SPSS Inc., Chicago, IL, USA). A P value <0.05 was considered significant.
9
Non-Parametric Statistical Analysis
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Statistical analysis was performed with the SPSS 13.0 statistical software package (SPSS, Inc., Chicago, IL, USA). Comparison between groups was analyzed with non-parametric Mann-Whitney U or Kruskal-Wallis H test. p<0.05 (two-tailed) was considered statistically significant.
10
Intubation Scores Comparison Protocol
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According to a power calculation, 25 patients per group were at least required to demonstrate a 30% difference in the intubation sores for a power of 0.8 and a type one error of 0.05. Data are expressed as mean ± standard deviation (SD), number (proportion), or median (interquartile range [range]). Statistical analyses were calculated with Student's t-tests, repeated measures analysis of variance and Tukey–Kramer multiple comparisons tests for numerical data, Mann–Whitney tests for not normally distributed metric variables or ordinal data, and Chi-square test and Fisher's exact test for categorical data, as necessary. The SPSS 13.0 statistical software package (SPSS Inc., Chicago, IL, USA) was used for all analyses and a P < 0.05 was considered statistically significant.
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