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Spss statistical software program version 20

Manufactured by IBM
Sourced in United States

SPSS Statistics is a software program developed by IBM for statistical analysis. Version 20 provides a comprehensive set of tools for data management, analysis, and presentation. The software enables users to access and prepare data, conduct statistical tests, and generate reports and visualizations. SPSS Statistics offers a wide range of analytical techniques to support various research and decision-making needs.

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Lab products found in correlation

8 protocols using spss statistical software program version 20

1

Statistical Analysis of Diagnostic Biomarker

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SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA.) was used for statistical analysis. Data were analyzed using Student's t-test and the Chi-square test for comparing quantitative and qualitative variables, respectively. Mann–Whitney U-test was used for data that were not normally distributed. P < 0.05 was considered as statistically significant. As normal tissues were obtained from the same set of patients, the McNemar test was used as a repeated measures version of a Chi-square test of independence in 2 × 2 categorical analysis. Specificity, sensitivity, negative predictive value (NPV), and positive predictive value (PPV) were calculated for AMACR having the histopathologic diagnosis as the gold standard test. The receiver operating characteristic curve was generated and area under the curve (AUC) was calculated with its 95% confidence interval (CI) (When AUC equals 0.7–0.8 it has good discrimination, while an AUC of >0.81 is considered excellent[20 (link)]).
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2

Analyzing Clinicopathological Significance of miR-19b-3p

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Statistical analyses were performed using the SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA). Student’s t-test was applied to compare two groups of quantitative data. The χ2 test or Fisher’s exact test for enumeration data was used to analyze the relationship between miR-19b-3p and clinicopathological features. Kaplan-Meier method was used to analyze the survival rates, and the differences between the survival curves were examined by the log-rank test. Univariate and multivariate survival analyses were performed using Cox proportional hazards models. P < 0.05 was considered statistically significant.
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3

Prognostic Role of miR-362-5p

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Statistical analyses were performed using the SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA). The χ2 test or Fisher's exact test for enumeration data was used to analyze the relationship between miR-362-5p and clinicopathological features. The Kaplan-Meier method was used to analyze the survival rates, and the differences between the survival curves were examined by the log-rank test. Univariate and multivariate survival analyses were performed using Cox proportional hazard models. p < 0.05 was considered statistically significant.
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4

Factors Affecting Time to Arousal

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Data were analyzed by SPSS statistical software program, version 20 (SPSS Inc., Chicago, IL, USA). Results were presented as mean ± standard error (SE) for quantitative variables and number (percent) for qualitative variables. To compare the quantitative variables between two groups, independent Student's t-test (or Mann-Whitney test, as appropriate) was used. Distribution of study participants in terms of categorical variables was compared between two groups using the Chi-square test (or Fisher's exact test, as appropriate). Multiple linear regression analysis was used to examine factors associated with time to arousal. P < 0.05 was considered as statistically significant level.
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5

Diagnostic Accuracy of PCT using ROC

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Data were processed by SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA). Results were described as mean ± standard deviation (SD). Student's t-test and one-way ANOVA was used to compare the groups. Receiver operating characteristic curves (ROC curves) were performed, and the area under curve (AUC), the optimal threshold score of PCT and its sensitivity and specificity was determined<0.05 was considered as statistically significant.
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6

Evaluating Statistical Differences in Interventions

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Data were processed by SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA). Continuous variables were presented as mean ± standard deviation (SD). Characteristics of studied groups were compared using t-test. Studied variables at baseline and 4 and 12 weeks after interventions in the studied groups were compared using the Wilcoxon signed rank test. Differences between the groups were investigated using the Mann–Whitney U-test. P value < 0.05 was considered statistically significant.
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7

Comparative Statistical Analysis of Quantitative and Qualitative Data

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Data were processed by SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA.) and Student's t-test and Chi-square test and Chi-square test for comparing quantitative and qualitative variables, respectively. P < 0.05 considered statistically significant. Analyses for sensitivity, specificity, NPV, PPVs, and accuracy were made using cross-tables in SPSS.
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8

Comparing NCS Results by Sex and Age

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Data were processed by SPSS statistical software program version 20 (SPSS Inc., Chicago, IL, USA). To compare the result of NCSs based on sex and age of patients, respectively, independent t-test and one-way ANOVA were used. Results were reported as mean (standard deviation) or n (%). A two-tailed P < 0.05 was considered statistically significant, and a 95% confidence interval was used.
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