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Spss statistics software package version 26

Manufactured by IBM
Sourced in United States

SPSS Statistics is a software package used for interactive, or batched, statistical analysis. It is commonly used in social sciences, healthcare, and marketing industries for data analysis, data mining, and reporting. Version 26.0 includes enhanced features for data management, analysis, and visualization.

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Lab products found in correlation

4 protocols using spss statistics software package version 26

1

HCV Monoinfection vs HIV/HCV Coinfection

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Demographic data and baseline characteristics were analyzed using descriptive statistics. The mean ± SD was used when the numerical data were normally distributed while the median (interquartile range 25th and 75th, IQR) was used when skewed and frequencies (%) are used to describe characteristics in each group. Patients were classified into two groups as follows: (i) patients with HCV monoinfection and (ii) patients with HIV/HCV co‐infection. The categorical variables were compared using Chi‐square or Fisher exact test as appropriate. Continuous variables were compared using independent t‐test or Mann–Whitney U test. SVR12 were demonstrated in percentages (%). All statistical examinations were two‐tailed and P‐values less than 0.05 were considered statistically significant. Univariate was used to assess factors related to SVR12. P‐values less than 0.05 were considered significant. Multivariable logistic regression was performed only in variables with a P‐value <0.05 in univariate analysis. Statistical analysis was performed with the SPSS statistics software package version 26.0 (IBM Corp., Armonk, NY, USA).
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2

Age-related Patterns in Drinking Behaviors and Motives

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SPSS statistics software package version 26.0 (IBM Corp., Armonk, NY, USA) was used for the statistical analyses. The characteristics of the different age groups were analyzed using descriptive statistics (frequency, percentage, means, and standard deviation). Drinking behaviors, norms, and motives variables were analyzed using ANOVAs and chi-square tests by age group.
Multiple and logistic regression analyses assessed differences and influences of demographic variables, norms, and motives on the frequency of drinking occasions and quantity of drinks consumed by age group. The numbers of participants who reported binge and high-risk drinking were insufficient to conduct analyses by age group. Before the multiple and logistic regression, significant variables were identified using correlation analysis.
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3

Genotype and Age Effects on CBF, CVR, ATT, and tc-pCO2

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To test the effect of genotype on CBF, CVR, ATT, and tc-pCO2, Mann–Whitney U-tests were performed. For the longitudinal cohort, Friedman tests were performed to test the effect of age on CBF and CVR, post-hoc followed by Wilcoxon signed-rank tests to determine which of the individual age groups differed from each other. Only consecutive age groups were compared to each other to restrict the stringency of the Bonferroni correction for multiple comparisons. Wilcoxon signed-rank tests were used to test the effect of anesthesia on CBF and CVR and to test the effect of CO2 on the ATT. No statistical testing was performed in cohort 2, given the small group size. All tests were performed in the SPSS statistics software package, version 26 (IBM, Armonk, NY, USA). The results of all tests are summarized in Supplementary file 1.
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4

Statistical Analysis of Research Study

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To verify the study hypotheses, we conducted a statistical analysis. We used the IBM SPSS Statistics software package version 26 to analyse the essential descriptive statistics and to conduct the test for normal distribution and a series of multi-factor variance analyses in mixed schemes. The level of statistical significance was set at α < 0.05.
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