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Spss 22.0 statistical package program for windows spss

Manufactured by IBM
Sourced in United States

SPSS 22.0 is a statistical software package for Windows that provides advanced analytical capabilities. The core function of SPSS is to enable users to perform a wide range of statistical analyses, data management, and visualization tasks. The program offers a user-friendly interface and a comprehensive set of tools for analyzing data from various sources.

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Lab products found in correlation

2 protocols using spss 22.0 statistical package program for windows spss

1

Predictors of Hemorheological Thrombotic Burden

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All parameters were studied usage the SPSS 22.0 Statistical Package Program for Windows (SPSS; IBM, Armonk, New York, USA). The categorical data between groups were compared usage the χ2 test or Fisher’s exact test. The Kolmogorov–Smirnov test was employed to evaluate the normality of distribution. The continuous variables were displayed as mean ± standard deviation or median ± interquartile ranges, and the categorical variables were displayed as the number of patients and percentages. A comparison between study populations was performed with the Student’s t test for the normally distribution and the Mann–Whitney U test for the skewed distributed variables. A value of p < 0.05 (using a two-sided test) was adopted as statistically significant. Multivariate logistic regression analyses were performed to assess the predictors of HTB. Two unlike models were designed to evaluate the predictiveness of MAPH score at each shear rate of whole blood viscosity (WBV) levels at multivariate analysis. ROC analyses were made to evaluate the predictive value of variables for HTB. The cut-off value was considered based on Youden index.
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2

Statistical Analysis of Clinical Data

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All the data were analysed using the SPSS 22.0 Statistical Package Program for Windows (SPSS; IBM, Armonk, New York, USA). A Kolmogorov–Smirnov test was utilised for the assessment of the normality of distribution. Continuous variables were presented as mean ± standard deviation and median with interquartile ranges and categorical variables as the number of patients and percentages. A comparison between groups was made with a Student’s t-test for normally distributed variables and a Mann–Whitney U test for variables without normal distribution. Finally, categorical data from both groups were compared using the χ2 or Fisher’s exact test. All tests were 2-tailed, and p values less than < 0.05 were considered statistically significant.
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