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Spss version 17.0 statistical

Manufactured by IBM
Sourced in United States

SPSS version 17.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data, allowing users to perform a variety of statistical analyses, including descriptive statistics, regression analysis, and hypothesis testing.

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Lab products found in correlation

9 protocols using spss version 17.0 statistical

1

Analyzing CRA Recurrence Through Multivariate Regression

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Descriptive statistics were carried out to characterize the participants with and without CRA recurrence. Student’s t-test or Mann–Whitney U-test was carried out for difference in mean (with standard deviation) or median (with interquartile range) and chi-square test for comparison of proportion. Multivariate analysis was carried out by multiple logistic regression analysis (backward stepwise), and the result was presented as odds ratio (OR) with 95% confidence interval. All statistical analyses were carried out using SPSS Version 17.0 statistical software (SPSS Inc., Chicago, IL, USA). A two-tailed P-value <0.05 represented statistical significance.
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2

Statistical Analysis of NK Cell Levels in Cancer

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Statistical analysis was performed using SPSS version 17.0 statistical software (SPSS Inc.). The results are expressed as mean ± standard deviation (SD). One-way analysis of variance followed by the Student-Neumann-Keuls post hoc test was used for comparison among the GC, GU and HD groups. The Student's t-test was used for comparing the NK cell ratio between cancer associated death and those who were still alive after 5 years. The correlation of NK cell levels between serum and paired tumor tissue samples was analyzed by Spearman correlation analysis. The sensitivity and specificity to identify GC and HD based on the peripheral NK cell level were analyzed and the best cutoff was determined by receiver-operating characteristic (ROC) curve analysis. The χ2 test was used to determine the association between the level of peripheral NK cells and clinicopathological features. Clinical and pathological data at the time of resection were analyzed to identify factors that influenced the prognosis via the Cox proportional hazards model. Multivariate analysis was performed by the Cox proportional hazards regression model. Kaplan-Meier analysis with a log-rank test was performed to determine the overall survival (OS) of patients with GC based on the level of peripheral NK cells. P<0.05 was considered to indicate statistical significance.
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3

Statistical Analysis of Experimental Data

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SPSS version17.0 statistical software was used for statistical analysis, and all data were expressed as mean ± standard deviation. Student’s t-test (two groups) and one-way ANOVA (multiple groups) followed by Tukey’s test were applied for difference analysis. Differences with p < 0.05 were regarded statistically significant.
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4

Statistical Analysis of Experimental Data

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Data were analyzed using SPSS version 17.0 statistical software (SPSS, Inc.). Measurement data are expressed as the mean ± standard deviation. An unpaired Student's t-test or one-way ANOVA followed by Tukey's post hoc test was employed to examine the difference between two or multiple groups, respectively. P<0.05 was considered to indicate a statistically significant difference.
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5

Evaluating miR-18a Expression in NPC

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Sample size was chosen based on the need for statistical power. All experiments were repeated three times or more and data are presented as mean ± SD and Student’s t-test (unpaired, two-tailed) was used to evaluate significant differences between groups of experimental data where appropriate. The variance between the groups that are being statistically compared is similar. The Chi-square test was used for correlation analysis between clinicopathological features of patients with NPC and miR-18a expression profiles. The linear correlations between miR-18a and SMG1 mRNA expression in NPC tissues were evaluated with Pearson correlation coefficient analysis. In addition, repeated measure analysis of variance was used to compare the difference of tumor volume between groups of mice treated with antagomirs during the subsequent measurements. The SPSS version 17.0 statistical software package was used for statistical analyses. P < 0.05 was regarded as statistically significant (*P < 0.05; **P < 0.01; ***P < 0.001).
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6

Evaluation of Operative Duration Trends

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All data were prospectively collected and retrospectively reviewed. SPSS, version 17.0, statistical software (SPSS, Chicago, IL) was used for the analysis. The change in operative durations over the course of the study period was evaluated using a logarithmic curve-fit regression analysis. Student's t test was used to compare continuous variables, the Kolmogorov–Smirnov Z test was used to compare nonparametric continuous variables, and the Chi-square and Fisher exact tests were used to evaluate differences in categorical variables, between the early and later cases. For all analyses, a P value <.05 was considered significant.
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7

Dietary Intervention Study Protocol

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All data are expressed as the mean ± standard deviation (SD). All the analysis were performed using SPSS version 17.0 statistical analysis package (SPSS Inc., Chicago, IL, USA). The significance of difference among the four dietary groups was assessed by analysis of one-way variance (ANOVA), followed by the Turkey post hoc test. A p-value < 0.05 was considered significant.
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8

Prognostic Significance of Rap1GAP

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All data were processed using SPSS version 17.0 statistical software (SPSS, Inc., Chicago, IL, USA). Differences between two groups were compared using Student's t-tests. The association between Rap1GAP expression and the patient clinicopathological characteristics were analyzed using a χ2 test. DFS and OS curves were calculated using the Kaplan-Meier method and intergroup differences were examined using the log-rank test. The prognostic factors were determined by DFS and OS analysis using the univariate and multivariate Cox proportional hazards model. The association between the Rap1GAP expression and expression of MMP-9 and E-cadherin was analyzed by the Spearman's rank correlation coefficient. P<0.05 was considered to indicate a statistically significant difference.
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9

Comparative Analysis of Biochemical Markers

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All data were carried out by three replicates (n=3) and expressed as
mean±SD. The SPSS version 17.0 statistical software package was used for
all statistical analyses. The significant differences were detected by one-way
ANOVA followed by Tukey’s test. Statistically significant was considered
at p<0.05 level.
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