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Spss software version 11.0 for windows

Manufactured by IBM
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SPSS software version 11.0 for Windows is a statistical analysis software package. It provides tools for data management, analysis, and reporting. The core function of SPSS is to assist users in analyzing and interpreting data.

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10 protocols using spss software version 11.0 for windows

1

Factors Affecting Endobronchial Ultrasound Detection

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The association between detection rate of ENB and nodule size, number of cases, operation time, average age of patients, sex, and mean distance of the lesions from the pleura was performed using Pearson’s correlation analysis. The impact of nodule location on detection rate of ENB was analyzed by using ANOVA analysis. The association between morbidity of pneumothorax following ENB and nodule size was performed using Pearson’s correlation analysis. The analyses were performed using SPSS Version 11.0 software for Windows (SPSS, Inc., Chicago, IL, USA). P < 0.05 (two-sided) was considered to indicate a statistically significant difference.
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2

Protein Level Statistical Analysis

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The statistical analysis of the association between the protein levels was performed using Pearson’s correlation analysis. Student’s t-test was used to evaluate differences in the variables (mean ± standard error of the mean) between the two study groups. The analysis was performed using SPSS Version 11.0 software for Windows (SPSS, Inc., Chicago, IL, USA). P<0.05 (two-sided) was considered to indicate a statistically significant difference.
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3

Statistical Analysis of Triplicate Experiments

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SPSS software version 11.0 for Windows (SPSS Inc., Chicago, IL, USA) was used to perform all statistical analyses. In this study, all experiments were performed in triplicate. Data are presented as mean ± standard deviation of one representative experiment. Student’s t-test was used to evaluate the continuous variables. The chi-square or Fisher’s exact tests were used to evaluate the differences in proportion. In all cases, differences were considered statistically significant at P<0.05.
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4

Evaluating LKB1 Expression in Glioma

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SPSS software version 11.0 for Windows (SPSS, Inc., Chicago, IL, USA) was used for the statistical analyses. All data obtained from experiments were expressed as the mean ± standard deviation. The differences of LKB1 mRNA and protein expression between glioma and non-neoplastic brain tissues were evaluated by Student's paired t-test. Spearman's rank correlation analysis was used to analyze the correlation between the level of LKB1 mRNA and protein expression. The associations between LKB1 expression and various clinicopathological features were analyzed by the χ2 test. Kaplan-Meier survival plots were constructed to analyze survival data. Univariate and multivariate analyses were performed using Cox's proportional hazards model. P<0.05 was considered to indicate a statistically significant difference.
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5

Statistical Analysis of Research Data

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The SPSS software version 11.0 for Windows (SPSS Inc, Chicago, IL, USA) was used for statistical analysis. All data were expressed as mean ± standard deviation and were analyzed by one-way analysis of variance (ANOVA) followed by least significant difference (LSD) or Dunnett’s T3 test. Differences were considered statistically significant when p was less than 0.05.
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6

Statistical Analysis of Experimental Data

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The SPSS software version 11.0 for Windows (SPSS Inc, Chicago, IL, USA) was used for statistical analysis. All data were expressed as mean ± standard deviation and were analyzed by one-way analysis of variance (ANOVA) followed by least significant difference (LSD) or Dunnett’s T3 test. Differences were considered statistically significant when p was less than 0.05.
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7

Multivariate Statistical Analysis Protocols

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The means of at least three replicates were reported in data. Canoco 5 (Microcomputer Power, USA) was used for redundancy analysis (RDA). This research mainly used SPSS software version 11.0 for Windows (SPSS, USA), OriginPro 8.5 (OriginLab Corp, USA) and Matlab R2016a (Mathworks Inc., USA) to statistically analyse and plot the collected data.
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8

Statistical Analysis of Gastric Cancer

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Statistical analysis. All statistical analyses were performed using SPSS software version 11.0 for Windows (SPSS, Inc., Chicago, IL, USA). Continuous variables were expressed as the means ± SD. The differences of ZIC expression, at the mRNA and protein level, between the GC tissues and matched normal mucosa were analyzed by an paired-t test. The associations of ZIC1 expression with various clinicopathological characteristics of the patients with GC were analyzed by Fisher's exact test for any 2x2 tables and Pearson's χ 2 test for non-2x2 tables. The survival analysis was estimated using the Kaplan-Meier method and data were compared using the log-rank test. Multivariate analysis was performed using the Cox proportional hazard model. A value of P<0.05 was considered to indicate a statistically significant difference.
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9

Evaluating Popliteal Artery Blood Flow

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Statistical evaluation was carried out on SPSS software version 11.0 for Windows (SPSS Inc., Chicago, IL, USA). Normality of distribution of each variable was assessed with the Kolmogorov-Smirnov test. Comparisons between the two groups were done using the unpaired Student's t-test. The chi-squared test for 2-by-2 contingency table was used to compare the frequencies between the two groups. To analyze the effect of variables on blood flow at popliteal artery, simple linear or stepwise multiple regression analyses were per-
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10

Multivariate Statistical Analysis Protocols

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The means of at least three replicates were reported in data. Canoco 5 (Microcomputer Power, USA) was used for redundancy analysis (RDA). This research mainly used SPSS software version 11.0 for Windows (SPSS, USA), OriginPro 8.5 (OriginLab Corp, USA) and Matlab R2016a (Mathworks Inc., USA) to statistically analyse and plot the collected data.
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