All data of results are provided as the mean ± standard deviation (SD). Statistically significant differences indicated in figures were based on t-test or one-way ANOVA (p ≤ 0.05) using SPSS 17.0 version (SPSS Inc., Chicago, IL, United States). Figures were made by Origin 9.1 (Microcal Software Inc., Northampton, MA, United States).
Spss 17.0 version
Manufactured by IBM
Sourced in United States
SPSS 17.0 is a statistical software package developed by IBM. It provides tools for data management, analysis, and reporting. The software's core function is to enable users to perform a variety of statistical analyses, including descriptive statistics, regression, and multivariate analysis.
Automatically generated - may contain errors
37 protocols using spss 17.0 version
1
Standardized Biological Protocol Reporting
2
Prostate Cancer Genetic Risk Analysis
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HWE of controls was calculated by chi-square statistics. The cancer risk, which was assessed by ORs with 95% CI, was calculated by using logistic regression models; otherwise, calculation results were adjusted for age and BMI. P < 0.05 was regarded as statistically significant. Differences of different clinical stages, Gleason grades, and PSA levels in PCa patients were also calculated by using the same statistic methods mentioned above. Moreover, in order to control possible confounding, logistic regression model was conducted to adjust these demographic characteristics. All statistical analyses were executed based on SPSS 17.0 version (SPSS Inc., Chicago, United States).
3
Statistical Analysis of Mycotoxin Impacts
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The FB1 concentrations and lesion scores were statistically analyzed using SPSS 17.0 version to perform a one-way ANOVA with the LSD post-hoc test on at least three independent replicates. The p-values of <0.05 were considered statistically significant for each test, and when p < 0.01, the results were highly significant. The hatching rate was statistically analyzed using SPSS version 17.0 to perform a chi-square test with a categorical variable. A p-value of <0.05 was considered to be a significant difference for each test, and a p-value of <0.01 was considered to be highly significant difference.
4
Statistical Analysis of Experimental Outcomes
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Statistical analysis was carried out using SPSS 17.0 version (SPSS, Chicago, IL) and Graphpad Prism 5.0. Data were expressed as mean ± SD and were analyzed by Student's t test and χ2 test as appropriate. Kaplan-Meier survival curves were plotted, and log rank test was done. P value < .05 was defined as statistically significant. *P < .05, **P < .01, and ***P < .001 in comparison with the control group.
5
Comparing Animal Infection Rates
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Infection rates between animal groups were compared using Chi-square test using SPSS 17.0 version (SPSS Inc., Chicago, IL, USA). The difference was considered significant when the p-value was <0.05.
6
Diagnostic Accuracy of VVI in Ischemic Patients
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Categorical variables are presented as a number and percentage (%). The chi square or Fisher's exact tests were used for comparison of categorical variables. Continuous variables are expressed as mean ± SD and were compared using an independent t test or the Mann-Whitney test. A post hoc test, Bonferroni's test, was also applied to compare the paired groups. Receiver operating characteristic (ROC) curve analysis was used to test the diagnostic accuracy of VVI for discriminating the true ischemic patients. To investigate intra-observer variability, measurements were done off-line on 20 randomly selected cases one month later and analysis was performed using Bland-Atman plot. A two-tailed p value of 0.05 was considered statistically significant. All statistical analyses were performed using SPSS 17.0 version (SPSS Inc., Chicago, IL, USA).
7
Analytical Techniques for Biological Data
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All experimental results are expressed as the mean ± SD (standard deviation). The statistical package for social science (SPSS, 17.0 version, Chicago, IL, USA) software was applied for statistical analyses of the data. Statistical significance of difference was determined using one way ANOVA followed by LSD (least significant difference) post-hoc test. The difference was considered statistically significant when P < 0.05.
8
Statistical Analysis of Experimental Data
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Statistical analyses were carried out using SPSS 17.0 version (SPSS, Inc., Chicago, IL, USA). Continuous variables are expressed as the mean ± standard error of mean (SEM). Normality of the distribution was assessed with the Kolmogorov-Smirnov test. The differences between groups in terms of numerical variables were examined using the independent sample t-test or the Mann-Whitney U test, according to the provided condition of parametric or non-parametric distribution. Pearson's correlation analysis was performed to evaluate the relationship between numeric variables. P<0.05 was considered to be statistically significant.
9
Knowledge and Attitude Analysis
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Descriptive statistics was used to analyze the data. Chi-square analysis was carried out to find association between knowledge, attitude of study subjects and response to the questions. P <0.05 was considered as statistically significant. The analysis was performed using SPSS 17.0 version software (SPSS Inc., Chicago, IL, USA).
10
Statistical Analysis of Experimental Outcomes
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Statistically significant difference was analysed by a t-test at p < 0.05 using SPSS17.0 version statistics software (SPSS Inc., USA).
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