Data are presented as the mean with standard deviation (SD). Prism 6.0 (GraphPad, San Diego, CA, USA) was used to describe the results. Statistical analyses were conducted using SPSS statistical software for Windows, version 21 (SPSS, Chicago, IL, USA). Statistical analyses were performed as described in the figure legends. **P < 0.01; *P < 0.05. A value of P < 0.05 was considered to be statistically significant.
Spss statistical software for windows version 21
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for statistical analysis. Version 21.0 is designed to run on the Windows operating system. The software provides core statistical functions for data analysis.
Automatically generated - may contain errors
Lab products found in correlation
32 protocols using spss statistical software for windows version 21
1
Statistical Analysis of Experimental Data
2
Preoperative and Postoperative Assessments
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Statistical analyses were performed using SPSS statistical software for Windows, version 21 (SPSS, Inc., Chicago, Illinois). Variables are expressed as the mean ± standard deviation, and a p value < 0.05 was considered statistically significant. We used paired t testing to compare preoperative and postoperative data. HoA, the contrast sensitivity test, and the QoV score were analyzed using the Wilcoxson-signed ranks test.
3
Demographic Factors and Perceptions
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Descriptive statistics were used to analyze the data. All statistical analyses were performed using SPSS statistical software for Windows version 21 (SPSS Inc., Chicago, USA). A chi-square was used to assess the association between and among variables that included Demographic characteristics, levels of Knowledge and attitude of respondents.
4
Six-Minute Walk Test Analysis
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Data were analyzed using SPSS statistical software for Windows version 21 (IBM Corporation, Armonk, NY, USA). Continuous data were expressed as mean ± standard deviation. The Student’s t-test was used when data were normally distributed; otherwise, the nonparametric Mann–Whitney U-test was used. Categorical data were compared using the chi-square test if the observed numbers in all categories were larger than 5; otherwise, Fisher’s exact test was used. Factors independently associated with distance achieved in the 6MWT were explored using a multiple linear regression model.
5
Factors Influencing Quality of Life
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The associations between various factors and QOL characteristics, including VFQ-25, VFQ-J11, and EQ-5D, were assessed using single linear regression models. Association estimates (beta coefficients) from these models were expressed as the mean difference in grade per unit of change in each factor. All P-values were two-tailed. All statistical analyses were performed using SPSS statistical software for Windows, version 21 (IBM Corporation, Armonk, NY, USA). A value of P<0.05 was set as the threshold of significance.
6
Statistical Analysis of Research Data
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Analysis were performed using the SPSS statistical software for Windows, version 21, (IBM, Armonk, NY, USA). The descriptive statistics are expressed as mean ± standard deviations for normally distributed variables, median (range) for variables without normal distribution, and the number of cases and percentages (%) for nominal variables. The normality of the data was tested by Kolmogorov-Smirnov distribution test. Pearson Chi-square test and Fisher's Exact test were used for comparison of descriptive statistics, as well as qualitative data. When the relationship between parameters were investigated, Pearson's correlation test was used for normally distributed data, and Spearman's correlation test was used for non-normally distributed data. The results were evaluated at 95% con dence interval and the level of signi cance was set to 0.05 in all statistical tests.
7
Peripapillary Vessel Density Evaluation
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Subjects were divided into four groups according to the SS of the angiography scan: SS 7, 8, 9, and 10. The continuous variables among the four groups were compared by one-way analysis of variance (ANOVA) with a post-hoc Bonferroni correction, and the categorical variables were compared using the χ2 test. The VD and PD in the peripapillary area were also compared among the four groups using one-way ANOVA with a post hoc Bonferroni correction. Univariate and multivariate linear regression analyses were performed to identify and evaluate the clinical factors associated with average peripapillary VD. All statistical analyses were performed using SPSS statistical software for Windows, version 21.0 (SPSS, IBM Corp, Armonk, NY, USA) and GraphPad PrismTM (version 6.0; GraphPad Software, San Diego, CA, USA). Snellen BCVA results were converted into the logarithm of the minimum angle of resolution value. Continuous variables are presented as the mean ± standard deviation. Differences were considered significant at p < 0.05.
8
Statistical Analysis of Hospital Data
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The data were entered into a database using Microsoft Excel (Microsoft Corp, Redmond, WA) software and cleaned, checked and analyzed using SPSS statistical software for Windows, version 21.0 (Chicago, IL, USA). Descriptive statistics were used to present the data. Nominal data are reported as proportions. Comparisons of the proportions were made between different types of hospitals using the chi-square test or Fisher's exact test. The level of statistical significance was established at p <0.05.
9
INR Monitoring for Anticoagulation Therapy
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Statistical analysis was performed using Microsoft Excel 2019 (Microsoft Corp., Redmond, WA, USA) and SPSS statistical software for Windows, version 21.0 (SPSS Inc., Chicago, IL, USA). Data are presented in the form of mean ± SD, frequency, and percentage (%), as appropriate. Comparisons between the change in INR for consecutive 5 weeks were conducted by using a one-way ANOVA. Descriptive analysis, such as the Pearson Chi-square test, was applied to observe the differences in rates and proportions. A p-value less than 0.05 was considered a significant difference between the groups.
10
Clinicopathological and Survival Analysis
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Statistical analyses of clinicopathological characteristics were performed using the chi-square method. The Kaplan-Meier and log-rank tests were used for survival analyses. The data were presented as the mean ± SD, and were analyzed by Student's t-test or one-way analysis of variance. All statistical comparisons were made using SPSS statistical software for Windows, version 21.0 (SPSS, Chicago, IL, USA). P < 0.05 was considered significant.
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