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Spss v 19.0 for windows

Manufactured by IBM
Sourced in United States

SPSS V.19.0 for Windows is a comprehensive statistical software package designed to analyze and manage data. It provides a wide range of tools for data manipulation, statistical analysis, and visualization. SPSS V.19.0 for Windows supports various data formats and offers a user-friendly interface to help users perform complex statistical analyses.

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54 protocols using spss v 19.0 for windows

1

Assessing Fetal Membrane Prolapse and Signal Abnormalities

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Statistical analysis was performed with SPSS® v. 19.0 for Windows® (IBM Corp., New York, NY; formerly SPSS Inc., Chicago, IL) and GraphPad Prism (version 4.02 for Windows, GraphPad Software, San Diego, CA). Intra- and inter-observer agreements were calculated by means of the kappa index (κ). Reliability is rated as ‘moderate’ for values between 0.41–0.60, as ‘substantial’ for values between 0.61–0.8 and as ‘excellent’ for values above 0.80 (12 (link)). Fisher’s exact test was used to determine whether FM prolapse >5 mm and signal abnormalities are associated with PROM and PPROM. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated for those two indicators and the combination of FM prolapse and signal abnormalities. The statistical significance was set at P < 0.05.
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2

Predictors of Complete Response in HBV

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Data were analyzed using SPSS v.19.0 for Windows (IBM Corp., Armonk, NY, USA). Categorical and continuous variables are presented as a proportion (%) and median (range), respectively. Pearson's χ2 analysis or Fisher's exact test were used to compare categorical variables, while the Student's t-test or Wilcoxon non-parametric test was used for normally distributed data. Cumulative CR rates were analyzed with the Kaplan-Meier method and significant differences were determined using the log-rank test. Variables with P values <0.10 were subjected to multivariate logistic regression analysis to identify independent variables for predicting CR. The optimal cut-off value of each variable was determined by the Youden index using MedCalc v.4.20 (MedCalc Software, Mariakerke, Belgium). Serum HBsAg and HBV DNA levels are expressed as log values. P<0.05 was considered to indicate a statistically significant difference.
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3

Comparative Statistical Analysis of Outcomes

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Continuous variables were presented as mean ± standard deviation and were performed by Student's t-test. Categorical variables were presented as frequencies and percentages (n (%)). Fisher's exact test was used to compare categorical variables. The survival curves were calculated by the Kaplan-Meier method. Survival differences were evaluated using log-rank test. P values < 0.05 were considered statistically significant. All statistical analyses were performed with SPSS v19.0 for Windows (IBM, USA).
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4

Investigating miR-577 Expression in Clinic

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All analyses were performed using SPSS v. 19.0 for Windows (IBM Corp., Armonk, NY, USA) and GraphPad Prism v. 5.0 for Windows (GraphPad Software Inc., La Jolla, CA, USA). For comparisons of two treatment groups, a Student's t-test was used. For comparisons of three or more groups, one-way analysis of variance was followed by the Bonferroni post hoc test for comparison of two selected treatment groups; the Dunnett's post hoc test was used for comparisons of the other treatment groups with the corresponding controls. The Pearson's correlation analysis was used to determine the r-value. Associations between miR-577 expression and clinicopathological characteristics were assessed using chi-squared test. Data from at least three independent experiments are presented as the means ± standard deviation, or medians with ranges. P<0.05 was considered to indicate a statistically significant difference.
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5

Evaluating Anti-Tumor Efficacy

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Where appropriate, all the results were obtained from triplicate experiments performed in a parallel manner, and depicted as the mean ± SD. The tumor volumes and weights of each group were compared by one-way ANOVA, and the survival curves were estimated according to the Kaplan–Meier method. The levels of the P values for comparison between all groups were determined by a 2-tailed Mann–Whitney test, and a probability value of ≤0.05 was considered to be statistically significant. Statistical analyses were performed with the statistical software system of SPSS v19.0 for windows (IBM, Armonk, NY).
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6

Evaluation of Antioxidant Activity

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All data are presented as the mean ± SD. Statistical differences between groups was performed with one-way analysis of variance using the post hoc Tukey’s test. Data were analyzed using SPSS v.19.0 for Windows (IBM, Armonk, NY, USA). P value less than 0.05 was considered statistically significant.
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7

Survival Analysis of Treatment

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Cumulative recurrence-free and overall survival rates were estimated by Kaplan–Meier method, evaluating between-group differences via log-rank test. In vitro results were expressed as mean ± SE. All computations relied on standard software (SPSS v19.0 for Windows; IBM, Armonk, NY, USA), setting significance at P < 0.05.
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8

Tumor Growth and Survival Analysis

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Where appropriate, all the results were obtained from triplicate experiments performed in a parallel manner, and depicted as the mean ± standard deviation. The tumor volumes and weights of each group were compared by one-way ANOVA (analysis of variance), and the survival curves were estimated according to the Kaplan–Meier method. The levels of P-values for comparison between all groups were determined by 2-tailed Mann–Whitney test, and a probability value of ≤0.05 was considered to be statistically significant. Statistical analyses were performed with the statistical software system of SPSS v19.0 for windows (IBM, Armonk, NY, USA).
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9

Analysis of Clinical Outcomes in Patients

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Descriptive statistics were used to analyze comorbidities, baseline clinical data, organ dysfunction scores, and mortality. All continuous variables are expressed as mean ± standard deviation (STDE). We also performed a univariate test for means and median distribution using Spearman correlation and analysis of variance (ANOVA). A p value < 0.05 was considered statistically significant. IBM SPSS v19.0 for Windows was used for all statistical computations.
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10

Prognostic Significance of EYA2 in Cancer

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The patient’s clinicopathological characteristics were summarized descriptively and tested using two-sample Student t-tests (continuous variables) and Pearson’s Chi-square tests (categorical variables). Wilcoxon–Mann–Whitney tests were used to analyze the TNM stage and histological grade. The DFS and DSS of subgroups were compared to determine survival outcomes using Kaplan–Meier curves and then further analyzed with the log-rank test to observe the significance. All possible prognostic factors were determined using a univariate Cox proportional hazards model; subsequently, the meaningful prognostic factors (defined as those with P<0.05 in univariate analysis) were further assessed in a multivariate analysis. Interaction between EYA2 expression status and chemotherapy was evaluated using Cox proportional hazards models with a 2×2 factorial design.21 (link) All statistical analyses were conducted using SPSS V.19.0 for Windows (IBM Corporation, Armonk, NY, USA). Significance was set at P<0.05 for two-sided tests.
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