Statistical analysis was performed using SPSS Statistic software version 24 (SPSS Inc., Chicago, III, USA). The variables were investigated using Kolmogorov-Smirnov test to determine whether or not they are normally distributed. Paired samples t-test was used to compare pretreatment eGFRs and posttreatment eGFRs of the patients. Kaplan-Meier analysis was used to show progression-free survival and OS. The significance level was accepted as P < 0.05.
Spss statistic software version 24
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for statistical analysis. Version 24 includes core statistical functions for data manipulation, analysis, and presentation. The software provides a comprehensive set of tools for descriptive statistics, regression, and multivariate analysis.
Automatically generated - may contain errors
Lab products found in correlation
10 protocols using spss statistic software version 24
1
Evaluating Renal Function Outcomes
2
Statistical Methods for Data Analysis
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Descriptive statistics were summarized as frequency and percentage for categorical variables and mean and standard deviation for continuous variables. Kolmogorov-Smirnov test was applied to test the normality distribution of all data. Independent samples T-test was used for comparison of normally distributed independent continuous variables, and Mann-Whitney U test was used for non-normally distributed variables. For the comparison of categorical variables, chi-square test (Fisher's exact test when chi-square test was inappropriate) was used. Correlations between data were evaluated with Pearson's correlation analysis or Spearman's correlation analysis (for non-normally distributed data). Statistical analyses were performed using the SPSS Statistic software version 24 (SPSS Inc., Chicago, III) and a p-value of <0.05 was considered statistically signi cant.
3
Cardiac Imaging Protocol Evaluation
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Continuous variables were checked for normal distribution using the Shapiro-Wilk test and are presented as median with interquartile range (IQR). Biventricular volumes and LV mass were indexed to body surface area. Dependent variables were tested using the Wilcoxon signed-rank test. Agreement of manual and automated analyses as well as intra- and inter-observer variability was assessed first using Bland-Altman analysis [mean difference between measurements with 95% confidence interval (CI)] [14 (link)], second intra-class correlation coefficients (ICC) based on a model of absolute agreement, considered excellent if ICC > 0.74, good between 0.60 and 0.74, fair between 0.4 and 0.59 and poor below 0.4 [15 (link)], and third the coefficient of variation (CoV, = standard deviation [SD] of the differences divided by the mean) [16 (link), 17 (link)]. P-values provided are two-sided, an alpha level below 0.05 was considered statistically significant. Statistical analyses were performed using IBM SPSS Statistic Software Version 24 (International Business Machines, Armonk, New York, USA) and Microsoft Excel (Microsoft, Redmond, Washington, USA).
4
Assessing Student Perceptions in Healthcare
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Statistical analysis was performed using IBM SPSS STATISTIC software, version 24. All items were descriptively analysed. Changes in paired items on the pre- and post-session questionnaires were assessed using the paired-samples t-test. Statistical significance was considered P < 0.01. Factor analysis was performed for both the pre- and post-session questionnaires using the Principal Component method. Differences between nursing and medical students were assessed using the t-test for independent samples. Correlations were determined using the Pearson correlation coefficient.
5
Correlating Acellular Capillaries in Diabetic Eyes
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The relationship between the number of acellular capillaries in the left and right eye was tested using Pearson’s correlation. To verify if the Kaplan Meier curves were significantly different from each other, we used Wilcoxon tests. We performed linear regression to analyze the continuous progression of diabetic retinopathy. All statistical analysis was performed on IBM SPSS Statistic software, version 24 and Prism 7.
6
Correlating Acellular Capillaries in Diabetic Eyes
7
Statistical Analysis of Experimental Data
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The statistical analysis was performed using IBM SPSS Statistic Software Version 24. Statistical significance was analyzed byStudent’s t test for two means or one-way ANOVA with Bonferroni’s post-test for multiple comparisons, when the data comes from a normal distribution. We used Kruskal-Wallis test for multiple comparisons when data wasn’t normally distributed. Mean values followed by different letters were significantly different at p ≤ 0.05. All values were expressed as the mean ± s.e.m.
8
Cardiac Hemodynamics and Valve Disease
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Quantitative data are reported in the text as mean ± standard error of the mean and are represented in figures in hanging box plot format, where median and interquartile ranges are shown, and error bars represent 90 and 10th percentile (SigmaPlot 12.5). Outliers were excluded using the Outlier Labeling Rule according to Hoaglin and Iglewicz (23 (link)) and using SPSS Statistic software version 24.0 (IBM Corp.) Prevalence of hypertension, aortic stenosis and aortic insufficiency were compared between patient groups using a Chi-Squared test. All other data were compared using the non-parametric Mann-Whitney test or the Kruskal-Wallis followed by a Dunn's post-hoc test, as indicated in each figure legend. A p-value of < 0.05 was considered significant. When indicated, variables were evaluated for correlation using the bivariate Pearson correlation analysis.
9
Surgeons' Bariatric Practice Analysis
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All completed surveys were included and analyzed. Questions that addressed individual surgeon's practice and preferences were analyzed at surgeon level. Questions that addressed current practice within a bariatric center were analyzed at center level, that is, one answer was included for each center. For these latter analyses, discrepant answers by surgeons working at the same bariatric center were discarded. Categorical variables are presented as number only or as number (percentage). Continuous data are presented as mean (range, minimum–maximum). Descriptive statistics were calculated with IBM SPSS statistic software, version 24.0.
10
Vitamin D, Inflammation, and Correlation
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Collected data was analyzed using IBM SPSS Statistic software, version 24.0. Continuous variables were expressed as means and standard deviations (mean ± SD). Statistical differences were considered signifi cant at p < 0.05. Pearson's chi-square test a nd Mann-Whitney U test were used for intergroup comparisons of parametric data and nonnormally distributed numerical data, respectively. Independent samples t-test was used to compare demographic data and laboratory parameters between the groups. Wilcoxon analysis was used for intragroup comparisons of laboratory values. Pearson correlation analysis was used to evaluate relationships between serum Vit D and IL-6 and CRP concentrations.
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