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Spss for windows software version 10

Manufactured by IBM
Sourced in United States

SPSS for Windows software, Version 10.0, is a statistical analysis and data management application developed by IBM. It provides users with tools for data entry, data management, and statistical analysis. The software is designed to run on the Windows operating system.

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Lab products found in correlation

5 protocols using spss for windows software version 10

1

Seroconversion and Cervical Lesion Regression

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All the statistical analyses were performed using SPSS software for Windows, version 10.0 (SPSS Inc., Chicago, IL, USA) and P-values <0.05 were considered to indicate statistically significant differences. The possibility of the natural seroconversion rate of HR-HPV was expressed as a percentage. The time to seroconversion indicated mean usage times. The seroconversion rates of HR-HPV and the regression rates of the cervical lesions were compared between subgroups using the Chi-squared and exact tests.
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2

Statistical Analysis of Experimental Data

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SPSS software for Windows (version 10.0) was used for statistical analysis (SPSS Inc., Chicago, IL, USA). The data were analyzed using a one-way analysis of variance and Tukey’s test at a 95% level of confidence.
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3

Discriminating Glaucoma Suspects: RNFL and GCA Analysis

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The results were analyzed using the SPSS for Windows software, Version 10.0, ©SPSS Inc., Chicago, US. Descriptive statistics were computed for all the variables measured. Patient characteristics were compared among all 3 groups using ANOVA with post hoc Bonferroni correction. The best modality for discriminating glaucoma suspects from POAG and normal controls was evaluated by calculating areas under receiver operating characteristic curves (AROCs). AROCs of GCA and RNFL parameters in each group were compared to each other by the method of DeLong et al. Results were considered statistically significant at P < 0.05.
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4

Comparative Statistical Analysis of Groups

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Differences among groups were assessed by one-way analysis of variance (ANOVA) followed by Tukey's multiple comparison test. p values <0.05 were considered statistically significant. All data were expressed as the mean ± SEM. All analyses were conducted using SPSS for Windows software, version 10.0 (SPSS Inc., Chicago, IL, USA).
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5

Statistical Analysis of Demographic Data

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The collected data from both groups were imported to Statistical Package for Social Sciences (SPSS) for Windows software, version 10.0 (SPSS Inc.; Chicago, IL, USA). The standard descriptive methods such as the mean, standard deviation, median, frequency, minimum and maximum were applied to determine the characteristics of the sample. Pearson’s chi-square test was used to compare the categorical demographic variables among the groups. Because the distribution of the data did not meet the requirements for normality and homogeneity of variances assumptions. The confidence interval was set to 95% and p values less than 0.05 was considered statistically significant.
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