The SPSS 18.0 statistical program was used for data analysis. Power analysis and sample size were made with G*power 3.1.9.7 program. We calculated that a minimum of 24 patients were sufficient for the study at 0.05 of the alpha (α) error value and at 95% of the research power. All clinical and laboratory variables were analyzed. The Kolmogorov-Smirnow test was utilized for the distribution of variables. The continuous variables with normally distribution were analyzed with the Independent-Samples t test. The continuous variables with non-normally distribution were analyzed with the Mann–Whitney U test. Analyzes of categorical parameters were calculated with the chi-square test. The correlation analyses were performed with the Spearman test. Linear regression analyses were used. The receiver operating characteristic (ROC) analysis was performed to assess the ICEBc and QTc as estimating arrhythmic risk. A P value < .05 was considered statistically significant.
Spss 18.0 statistical program
Manufactured by IBM
Sourced in United States
SPSS 18.0 is a statistical software package developed by IBM. It is designed to perform a wide range of statistical analyses, including descriptive statistics, correlations, regression, and more. The program provides a user-friendly interface and a comprehensive set of tools for data analysis and visualization.
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Lab products found in correlation
2 protocols using spss 18.0 statistical program
1
Cardiac Arrhythmia Risk Estimation
2
Evaluating Factors Influencing Quality of Life
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SPSS 18.0 statistical program (SPSS Inc., Chicago, IL, USA) was used to perform two sample t-test, one-way ANOVA or Kruskal-Wallis H test, and multivariate stepwise regression to evaluate the influencing factors on quality of life. The distributions of HRQOL in categorical variables were evaluated using t-test and ANOVA. If equal variances were not assumed when compared the difference between two samples, t- test was used to weight data to reduce variances. Whereas one-way ANOVA was used in the comparison among multiple variables, if equal variances were not assumed, Kruskal-Wallis H test was used to conduct this comparison. The correlation between HRQOL scores and continuous variables was assessed by Pearson’s correlation. If the correlation between two variables was more than 0.5, these variables were regarded as co-line variables. In this study, no co-line variables were found, multivariate stepwise regression were then performed using each cluster of HRQOL as dependent variables, and general characteristics as well as dietary factors as independent variables. A p < 0.05 was considered statistically significant, results were presented as means ± standard deviations (SD).
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