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Spss statistical software package release 23

Manufactured by IBM
Sourced in United States

SPSS 23.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression analysis, and advanced statistical modeling. The software is designed to help researchers, analysts, and professionals extract insights from complex data sets.

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Lab products found in correlation

2 protocols using spss statistical software package release 23

1

Seroprotective Status Predictors Analysis

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Frequencies were compared using the chi-square test or the Fisher's test. The Student's t-test and the Mann-Whitney U were used for comparing continuous variables. In order to identify predictors of seroprotective status in the analyzed population, a logistic regression analysis adjusted for age and sex was performed. Factors associated with seroprotective status in the bivariate analysis with a p value 0.2 were entered as covariates. The statistical analysis was carried out using the SPSS statistical software package release 23.0 (IBM SPSS Inc., Chicago, IL, USA).
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2

Antibody Titers and Demographic Factors

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Descriptive statistics and univariate analyses were performed. The outcome variable was the anti-S-RBD titer at least 3 weeks after the boost dose. Differences in anti-S-RBD levels and PROT-80 according to demographic and clinical parameters were evaluated. Categorical variables were expressed as numbers (percentage) and analyzed using the Chi-square test or Fisher’s exact test. Student’s t-test and the Mann–Whitney U test were used to compare independent continuous variables, expressed as median (interquartile range, IQR). For related continuous variables, the Wilcoxon signed-rank test was applied. Factors associated with anti-S-RBD levels with a p < 0.2 in the univariate analysis were evaluated in a general linear model adjusted for age and sex. Likewise, multivariate logistic regression models were developed to identify factors associated with PROT-80. Adjusted odds ratios (AOR) with their corresponding 95% confidence intervals (CI95) were calculated. Statistical analyses were carried out using the SPSS statistical software package release 23.0 (IBM SPSS Inc., Chicago, IL, USA).
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