All analyses were performed using IBM SSPS Statistics version 26 software (IBM Corp., Armonk, NY, USA). Descriptive data were described in numbers, percentages and a median with interquartile range (IQR). Categorical data were compared using a chi-square test or Fisher's exact test as appropriate while continuous data were compared using Mann Whiney U test. All P values were 2- tailed, and P <0.05 was considered statistically significant. Variables that were significantly associated with COVID-19 development at a significance level of P less than 0.20 in univariable analyses or had been previously reported to be significant factors were entered into backward stepwise logistic regression models. Adjusted odd ratios (aORs) and 95% confidence interval (CI) were calculated in multivariable logistic regression analysis to determine factors associated with COVID-19 development among the HCWs.
Ssps statistics version 26
Manufactured by IBM
Sourced in United States
SPSS Statistics version 26 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, advanced statistical modeling, and data visualization.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using ssps statistics version 26
1
Factors Associated with COVID-19 in HCWs
2
Statistical Analysis of Experimental Data
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Data are plotted as the mean ±S.D. for each group. IBM SSPS Statistics version 26 was used for comparison of data sets using Student’s t-test. Welch’s two-sample t test was applied when Levene’s normality test or Kolmogorov-Smirnov test failed. A p value ≤0.05 is considered statistically significant.
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