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Spss 18.0 statistical software

Manufactured by IBM
Sourced in United States

SPSS 18.0 is a comprehensive statistical software package developed by IBM. It provides a wide range of data analysis and management tools, including advanced statistical techniques, data visualization, and reporting capabilities. The software is designed to help users analyze and interpret complex data efficiently.

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259 protocols using spss 18.0 statistical software

1

Statistical Analysis of Experimental Data

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SPSS 18.0 statistical software (SPSS, Inc.) was used for statistical analyzes. Five repeats were conducted for each experiment. Data were presented as the mean ± standard deviation. One-way ANOVA was followed by Tukey's analysis for further comparison. P<0.05 was considered to indicate a statistically significant difference.
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2

Pharmacokinetic Analysis Using SPSS

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SPSS18.0 statistical software was used for data analysis, and experimental results were expressed as mean ± standard deviation. We used the independent samples t-test for comparisons between groups, and p < 0.05 was considered statistically different. Pharmacokinetic parameters were processed with WinNonLin 8.3 data processing software.
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3

Statistical Analysis of Research Data

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SPSS 18.0 statistical software (Chicago, IL, USA) was used for data analysis. Data were presented as mean ± standard deviation. Matched or non-matched t-test analysis was used for comparisons between groups. P<0.05 was considered to indicate a statistically significant difference.
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4

Survival Analysis of Research Protocols

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All data were shown as the mean ± standard deviation and analyzed using a univariate analysis, χ2test or exact probability method. A survival analysis was performed using the Kaplan-Meier method, with the log-rank test, and the SPSS 18.0 statistical software (SPSS, Inc., Chicago, IL, USA) was used. P<0.05 indicated that the difference was statistically significant.
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5

Comparison of Preoperative and Postoperative Ocular Outcomes

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SPSS18.0 statistical software was used for statistical analysis. Paired t test was used to compare the differences of HI and CSC pre- and post-operative, a positive significance level was assumed at probability of less than 0.05.
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6

ANOVA Analysis of Experimental Data

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One-way analysis of variance (ANOVA) was used to analyze the experimental data between groups using SPSS 18.0 statistical software (SPSS Inc., Chicago, IL). Duncan's multiple range test was used to determine the differences among treatment groups. Data are shown as mean values with standard error of the total mean (SEM). For all tests, P < 0.05 was considered a significant difference.
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7

Prognostic Significance of HSP Proteins in NPC

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SPSS18.0 statistical software (SPSS Inc., Chicago, IL, USA) was used to test the correlation between the expression of HSP10 and HSP70 proteins and their clinicopathological characteristics in NPC by chi-square test. The Spearman’s rank correlation coefficient was used to assess the significance of the association among the expression of HSP10 and HSP70 proteins in NPC. Kaplan–Meier survival analysis was performed for OS curves and statistical significance was assessed using the log-rank test. To identify whether expression of HSP10 and HSP70 proteins was the independent prognostic factors of OS for NPC, multivariate analysis using the Cox proportional hazard regression model was performed. All P-values were based on the two-sided statistical analysis and P<0.05 was considered to be statistically significant.
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8

Statistical Analysis of Experimental Data

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The SPSS 18.0 statistical software (SPSS Inc., USA) was used for data analysis. The measurement data were reported as the mean ± standard deviation (SD), in-group comparison adopted pairing sample t-testing, and between-group comparison adopted independent sample t-testing. Qualitative data was expressed as frequency and percentage, and the statistical processing adopted χ2 testing. P < 0.05 value was considered as statistically significant.
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9

Statistical Analysis of Treatment Outcomes

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The SPSS18.0 statistical software was used to analyze all data. The paired t-test was used to analyze the changes in patients in each group before and after treatment. The difference was considered to be significant when P < 0.05. The experimental data were expressed by mean ± standard deviation. Student's t-test was used to detect the difference between the two groups. The comparison of the intergroup enumeration data used chi-square test or Wilcoxon signed rank test. The difference was considered to be significant when P < 0.05. The difference was considered to be statistically significant when P < 0.01.
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10

Statistical Analysis of Experimental Data

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SPSS18.0 statistical software was used to analyze the data. The measurement data were all Mean ± SD. The comparison of multiple groups of data was performed by single factor analysis of variance. The comparison between groups was performed by LSD-t test. The repeated measurement data was analyzed by repeated measurement analysis of variance. When P <0.05, the difference was statistically significant.
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