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Spss statistical software package 22

Manufactured by IBM
Sourced in United States

SPSS Statistics is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The core function of SPSS Statistics is to enable users to perform a wide range of statistical analyses, including descriptive statistics, regression, correlation, and hypothesis testing.

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5 protocols using spss statistical software package 22

1

Statistical Analysis of Experimental Data

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Statistical analysis was performed using IBM SPSS statistical software package 22. Data are presented as means ± SD. Qualitative variables were compared by the Student’s t-test or χ2-test. All statistical tests were two-sided and p-values < 0.05 were considered statistically significant.
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2

Statistical Analysis of Experimental Data

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All samples were analyzed independently, and all experiments were performed in triplicate. Values are expressed as the mean ± standard deviation (SD). The experimental data were analyzed and processed using the IBM SPSS statistical software package 22 (SPSS Inc., Chicago, IL, USA). The differences were analyzed for significance by analysis of variance (ANOVA). Duncan’s multiple range test of means (p < 0.05) was used to test for significant differences.
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3

Survival Analysis of Nasopharyngeal Carcinoma

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Statistical analysis was performed using IBM SPSS statistical software package 22. Data are presented as means ± SD. Qualitative variables were compared by the Student’s t test or Chi-square test. Kaplan–Meier survival analysis was used to compare NPC patient survival by the log-rank test. Cox proportional hazards regression analyses were used to analyze the effect of clinical variables on patient survival. The Spearman rank correlation coefficient was used to determine the correlation between the two variables. All statistical tests were two-sided, and the p values <0.05 were considered statistically significant.
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4

Prognostic Significance of ZIC2 in ccRCC

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Statistical analyses employed a SPSS statistical software package 22.0 (IBM, Armonk, NY, USA). The statistical difference between the level of ZIC2 in ccRCC and normal samples was analyzed by t-test. The associations between the level of ZIC2 and clinicopathological characteristics were assessed by χ2 tests. The appropriate cut-off point value for the level of ZIC2 was confirmed by receiver operating characteristic curve analyses with the maximal value of Youden index. OS and DFS were evaluated by Kaplan–Meier analyses and log-rank test was conducted to assess differences between groups. Multivariate Cox regression analyses were adopted to investigate the significance of ZIC2 in OS and DFS. Two-sided P<0.05 was of statistical significance.
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5

Quantitative Real-Time PCR Protocol

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qRT-PCR was performed in a 20 μl reaction volume using the ABI 7300 real-time PCR system (Applied Biosystems, USA) with the SYBR Premix Ex Taq (Takara, Japan) according to manufacturer’s protocol. The reaction volume contained 1 μl (approximately 100 ng) of cDNA, 1 μl of each sense and anti-sense primer (10μM), 10 μl of 2 × SYBR Green Premix and 7 μl of ddH2O. The following PCR running program was used: 95 °C for 60 s, followed by 40 cycles of 95 °C for 10 s, 57 °C for 30 s and 72 °C for 30 s. The PCR reaction for each of three biological replicates was implemented according to the procedure described above, and each reaction was performed in triplicate. Melting curves were used to analyze the specificity of amplifications. Specific primers for all the genes used in this study were designed using Beacon Designer 7 (Supplementary Table 11), and the ribosomal protein S20 gene (S20) was used as the endogenous control [52 (link)]. The relative expression level of each gene was analyzed according to the 2-ΔΔCTmethod [55 (link)]. Data are presented as the means ± standard deviation (SD). Statistical analysis, one-way ANOVA, was performed using the IBM SPSS statistical software package 22.0, with significance declared at P < 0.05.
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