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Statistical package for the social sciences spss statistics for windows version 22

Manufactured by IBM
Sourced in United States

SPSS Statistics for Windows, version 22.0 is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The core function of SPSS Statistics is to enable users to perform a wide range of statistical procedures, including descriptive statistics, correlations, regression analysis, and hypothesis testing.

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2 protocols using statistical package for the social sciences spss statistics for windows version 22

1

Analyzing Risk Factors for Acute Myocardial Infarction in Ankylosing Spondylitis

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The results of continuous variables are presented as mean ± standard deviation, and the results of categorical variables are displayed as numbers and percentages. We used an independent Student t-test to determine the statistical difference between continuous variables. Furthermore, we assessed the differences in categorical variables by Pearson’s chi-square test or Fisher’s exact tests. Meanwhile, the hazard ratios (HRs) for the association between clinical variables and related comorbidities with AMI were evaluated using univariate and multivariate Cox regression analyses. We then stratified patients into different subgroups based on relevant clinical variables and patient’s comorbidities. Further analyses between these subgroups were carried out. Kaplan–Meier survival curves and log-rank tests were used to evaluate the cumulative risk of AMI in AS patients with and without endophthalmitis in this cohort. Statistical significance was defined as p < 0.05. All statistical analyses were performed using IBM Statistical Package for the Social Sciences (SPSS) Statistics for Windows, version 22.0. (IBM Corp. Released 2013. Armonk, NY, USA).
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2

Corneal Thickness and Visual Outcomes in t-PRK Surgery

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The main outcome measurements of the study included central corneal epithelial thickness (CCET), SD cet , visual acuity (VA; logMAR), and spherical equivalent refraction at baseline and several postoperative time points (1 week, 1 month, 3 months, and 6 months from day 0) after t-PRK surgery. Unless stated otherwise, all parameters were assumed to be at the specific time point. The Kolmogorov-Smirnov test was used to test the normality of all variables. Categorical variables are reported as numbers and percentages, and continuous variables are reported as mean ± SD. Continuous variables were compared using an independent Student's t-test; Pearson's chi-squared and Fisher's exact tests were used to evaluate the differences in categorical variables.
A generalised estimating equation was used to calculate the parameters. Correlation analyses between CCET, SD cet , and haze with refraction, UDVA, and OCT pachymetry parameters were expressed as Spearman's rank correlation coefficient. Statistical significance was defined as a p-value<0.05. All statistical analyses were performed using the IBM Statistical Package for the Social Sciences (SPSS) Statistics for Windows, Version 22.0. (IBM Corp., Armonk, NY, USA).
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