Data collected were presented as mean, minimum concentration, maximum concentration, and standard error and were subjected to one-way analysis of variance. Differences between the means were tested by Duncan tests. The level of significance was chosen at p<0.05 and the results are presented as mean to assess whether heavy metals varied significantly between different samples. All statistical calculations were performed with SPSS 9.0 for Windows [26 ].
Spss 9.0 for windows
Manufactured by IBM
Sourced in United States
SPSS 9.0 for Windows is a statistical software package used for data analysis and management. It provides a comprehensive set of tools for data manipulation, statistical modeling, and reporting. The software is designed to work on the Windows operating system.
Automatically generated - may contain errors
Lab products found in correlation
18 protocols using spss 9.0 for windows
1
Heavy Metal Concentration Analysis
2
Comparative Analysis of Therapeutic Interventions
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The values are expressed as mean ± SD. Data were evaluated with independent t-test. All statistical analyses were performed with the statistical program SPSS9.0 for Windows.
3
In-vitro Antioxidant Assessment of Compounds
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Results were shown as mean ± S.D. for each group (where, number of each in-vitro antioxidant experiment, n = 3; number of experimental animal, n = 6). SPSS 9.0 for Windows (Chicago, IL, USA) software was used for statistical analysis. For multiple comparisons, one-way analysis of variance (ANOVA) was performed. In cases where ANOVA showed significant differences, Tukey test was performed. P < 0.01 was considered to be statistically significant.
4
Neurological Function Assessment
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Results are reported as mean ± s.e.m. throughout the study. The data were analyzed by t-Student test. Correlation analysis was conducted by Pearson correlation test. The software SPSS 9.0 for Windows was used for statistical evaluation (SPSS Inc., Chicago IL, USA). A statistically significant difference was accepted when the P < 0.05.
5
Statistical Analysis of Clinical Variables
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Normality of variables' distribution was tested by Kolmogorov-Smirnov test. Accordingly, variables are presented as means ± standard deviations or median (interquartile range) and differences between groups were tested by Student's independent t-test or Mann-Whitney U test on the basis of their normal or not-normal distribution, respectively. Pearson's or Spearman's correlation coefficients were used in order to test the associations between the different variables. Multivariate linear regression models adjusted for age and BMI were performed for factors significantly correlated at Spearman's analysis. Multivariate logistic regression analysis was performed to assess significant predictors of MAGI after adjusting for age and BMI.
The software SPSS 9.0 for Windows was used for statistical evaluation (SPSS Inc., Chicago, IL, USA). A statistically significant difference was accepted when the P value was lower than 0.05.
The software SPSS 9.0 for Windows was used for statistical evaluation (SPSS Inc., Chicago, IL, USA). A statistically significant difference was accepted when the P value was lower than 0.05.
6
Phase III Trial for Survival Rate
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On the basis of a 1-year survival rate of 60% reported in the literature4–6 (link), it was decided that the arms would be of interest for a phase III trial if the 1-year survival rate was ≥80%. Forty-two assessable patients for the treatment were needed to test this hypothesis, which corresponded to a hazard reduction of 50%, with a one-sided type I error of 0.05% and 80% power20 (link). A 10% adjustment for data attrition resulted in a sample size of 46 patients. Survival periods were calculated from the time of surgery. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier method. A secondary outcome was toxicity level. The study was designed to end early in the event of excessive toxicity. At any point, if the rate of patient death resulting from treatment reached 10%, then accrual would stop. For example, if death occurred in more than 2 of the first 10 patients, accrual would be terminated. All statistical tests were carried out using SPSS 9.0 for windows (SPSS Inc., Chicago, IL, USA).
7
Evaluating ZEN Treatment Effects
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The effects of ZEN treatment were determined by comparison of the obtained values of the treatment groups to the respective controls at each sampling date using non-parametrical Kruskal-Wallis tests followed by Mann-Whitney U-tests (SPSS 9.0 for Windows; SPSS Inc, Chicago, IL, USA, 1999). Differences between treatment groups were considered statistically significant when p < 0.05.
8
Comparative Statistical Analysis Protocol
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The results were analysed by one way ANOVA, t-test and Newman-Keuls multiple post hoc procedures. Statistical significance was defined in advance as P < 0.05 using the SPSS9.0 for Windows (SPSS Inc, Chicago, IL, USA) statistical package.
9
Statistical Evaluation of Questionnaire Scores
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The software SPSS 9.0 for Windows (Chicago, IL, USA) was used for statistical evaluation. Quantitative data were expressed as median and range, and qualitative data were expressed as percentages throughout the study. Intragroup differences in NIH-CPSI or IBS-SSS questionnaire scores before/after therapy were analysed using Wilcoxon’s signed rank test. Mann-Whitney U tests were used for analyses that compared different groups. A statistically significant difference was accepted when the p value was lower than 0.05.
10
Statistical Analysis of Continuous Variables
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Statistical analysis was performed using the SPSS 9.0 for Windows software. Continuous variables were expressed as the mean ± standard deviation and the normality was checked with the Kolmogorov-Smirnov Test. Analysis of variance (ANOVA) was used for parametric comparison of means and 2-by-2 comparisons were done using Tukey’s test. Nonparametric comparison of continuous distributions was carried out using the Kruskal-Wallis and the Mann-Whitney U tests. In all comparisons and parameter estimation, a value of P < 0.05 (2-sided) was considered statistically significant.
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