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Spss package for windows version 23

Manufactured by IBM
Sourced in United States

SPSS package for Windows, version 23.0, is a statistical software application developed by IBM. The core function of this product is to provide data analysis and statistical modeling capabilities to users.

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Lab products found in correlation

2 protocols using spss package for windows version 23

1

Breast Cancer Recurrence Patterns and Outcomes

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After adjuvant treatments were finished, a follow-up was conducted regularly and continued until death or loss to follow-up. The general characteristics of the subjects are expressed as frequencies and percentages and compared using the Fisher exact or χ2 test. LRR was defined as recurrence on the ipsilateral chest wall/breast, ipsilateral axilla, supra/infraclavicular regions, and internal mammary lymph nodes (IMNs). DM was defined as clinical evidence of distant disease based on clinical and/or radiographic findings. Disease-free survival (DFS) and OS rates were calculated from the date of the definitive surgery. Survival rates were calculated using the Kaplan–Meier method and compared by the log-rank test. The association of survival outcomes with potential prognostic factors was tested by univariate Cox regression analysis and further evaluated using multivariable proportional hazards regression. Statistical analyses were performed using the SPSS package for Windows, version 23.0 (SPSS, Inc., Chicago, IL, USA). A P-value of ≤0.05 was considered statistically significant.
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2

Preterm Birth Influences Motor Development

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Statistical analysis was performed using the SPSS package for Windows, version 23.0 (SPSS Inc., Chicago, IL). The Pearson Chi-square test was used to evaluate associations between nominal data. To put the medians of non-normally distributed continuous data (e.g. motor optimality score) in relation to nominal data (e.g. preterm birth), we applied the Mann-Whitney-U test or, if there were more than two categories, the Kruskal-Wallis test (e.g. repertoire). To assess the relative strength of the association between variables, we computed the following correlation coefficients: Cramer’s V coefficient was applied when at least one of the two variables was nominal (e.g. preterm birth and age-adequacy of the repertoire). To assess the relation between two continuous variables (e.g. gestational age and motor optimality score), we applied the Pearson product-moment correlation coefficient. Throughout the analyses, p < 0.05 (two-tailed) was considered to be statistically significant.
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