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Spss statistical software ver 22

Manufactured by IBM

SPSS Statistics is a software package used for interactive, or batched, statistical analysis. The core function of SPSS Statistics is to provide tools for data analysis, data management, and data documentation.

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Lab products found in correlation

3 protocols using spss statistical software ver 22

1

Uric Acid Levels and Arterial Stiffness

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Uric acid quartiles were categorized as follows: Q1≤3.8, Q2=3.9 to 4.4, Q3=4.5 to 4.9, and Q4≥5.0 mg/dL. Demographic and biochemical characteristics of the study population according to uric acid quartiles were compared using a one-way analysis of variance for continuous variables and the chi-square test for categorical variables. Individuals were divided into two groups based on ba-PWV: a high group and a low group. A high ba-PWV was defined as a ba-PWV of more than 1,450 cm/s.13) (link) The ORs for high ba-PWV were calculated using multivariate logistic regression analysis after adjusting for confounding variables across uric acid quartiles. All analyses were conducted using IBM SPSS statistical software ver. 22.0 (IBM Corp., Armonk, NY, USA). All statistical tests were two-sided, and statistical significance was assumed when P<0.05.
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2

Evaluating Spinal Deformity Treatment

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The data were analyzed using IBM SPSS statistical software ver. 22.0 (IBM Corp., Armonk, NY, USA). Assumption of the normality of the data was evaluated using the Shapiro-Wilk test. All the parameters had normal distribution except brace compliance and vertebral rotation. In order to compare the mean values of the baseline and the final Cobb angles, a paired sample t-test was performed. The Wilcoxon signed-rank test was used to compare the median values of the baseline and the final AVR, upper AVR, and lower AVR. The Spearman and Pearson correlation analyses were conducted to establish the relationships between the stress level and subscales of the P-BrQ, radiologic parameters, and clinical parameters of the patients. All p-values <0.05 were considered to indicate a statistically significant difference. All the values are reported as mean and standard deviation.
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3

Evaluating Participant Characteristics and Outcomes

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All data will be collected and analyzed by the primary researcher. Baseline characteristics of eligible participants will be presented using descriptive statistics. Normality of the collected data will be established using the ShapiroWilk test. Based on data normality, descriptive statistics will be expressed as mean±standard deviation or median and intra-quartile range. Within-group comparisons will be conducted using paired t-tests or the Wilcoxon signedrank test, while and between-groups comparisons will be conducted using independent t-test or the Mann-Whitney U-test. The level of significance was set at 0.05 for all analyses. Statistical analysis will be performed using the IBM SPSS statistical software ver. 22.0. (IBM Corp., Armonk, NY, USA).
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