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Statistical package for social sciences spss software version 25

Manufactured by IBM
Sourced in United States

SPSS (Statistical Package for Social Sciences) software, version 25, is a comprehensive statistical analysis tool. It provides a wide range of data management, analysis, and visualization capabilities for researchers and professionals working in various fields, including social sciences, marketing, and business. The software enables users to import, manage, and analyze data from multiple sources, as well as generate reports and visualizations to support decision-making processes.

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3 protocols using statistical package for social sciences spss software version 25

1

Hypocalcemia Risk Factors Analysis

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Statistical analysis was performed using the IBM Statistical Package for Social Sciences (SPSS) software, version 25 (SPSS Inc., Chicago, IL, USA). All the findings were considered statistically significant with a p-value < 0.05.
Hypocalcemia has been defined as serum calcium concentration <8.5 mg/dL and ionized calcium as <1.18 mmol/L. We performed Kolmogorov–Smirnov test to determine the distribution in our cohort. Subsequently, we used Mann–Whitney U test, Kruskal–Wallis test, χ2, and Fisher test. To calculate odds ratio, we divided the population in two groups: hypocalcemic and non-hypocalcemic, defined as above. To be noted, the non-hypocalcemic group can be considered as a normocalcemic subpopulation, since we did not observe any hypercalcemic condition. The Mann–Whitney U test was used to calculate the p-values of our non-parametric distributions. Kuskal–Wallis test was employed to evaluate if the presence of 2 complications per patient might influence the developing of hypocalcemia. All the recorded comorbidities were analysed using the Pearson's chi-squared test to highlight statistical differences in the hypocalcemic and/or normocalcemic subpopulations.
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2

ALOX12 Polymorphism Analysis Protocol

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A DNA sequencer software was used to analyse the data from ALOX12 gene polymorphism studies. Statistical analyses of data from the entire study were done with the IBM statistical package for social sciences (SPSS) software version 25. Frequencies, percentages, means, standard deviations and medians were used to summarize categorical and continuous variables. Associations between categorical variables were evaluated using the chi square test. Median comparison of skewed variables that do not have normal (Gaussian) distribution was done using Mann-Whitney (U) test. Pearson correlation analysis was used to test for relationship between two continuous variables. The statistical significance was set at p < 0.05.
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3

Patient-Reported Outcomes Before and During COVID-19

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Proportions, frequencies and means (M) with standard deviations (SD) or medians with interquartile ranges (IQR) were used to describe patient and tumor characteristics. Differences in PROs before and during COVID-19 lockdown were analysed using a paired T-test. All reported p values were two-sided and p-values < 0.05 were considered statistically significant. Statistical analyses were performed with the use of IBM Statistical Package for Social Sciences (SPSS) software, version 25 (IBM Corp, Armonk, NY).
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