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Spss statistic for windows version 21

Manufactured by IBM
Sourced in United States

SPSS Statistics for Windows, version 21, is a statistical software package developed by IBM. It is designed to analyze and interpret data, providing users with tools for data management, analysis, and presentation. The software offers a wide range of statistical techniques, including regression analysis, factor analysis, and cluster analysis, among others. SPSS Statistics is commonly used in various industries and research fields to support data-driven decision-making.

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Lab products found in correlation

2 protocols using spss statistic for windows version 21

1

Survival Analysis of Clinical Outcomes

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Statistical analyses were performed using IBM SPSS Statistic for Windows, version 21 (IBM Corp., Armonk, NY, USA). Baseline characteristics are presented as proportions for categorical variables and the mean ± standard deviations for continuous variables. Chi-squared analysis was used for categorical variables, and t-tests were used for continuous variables. The end date was the date of death or the date of the last follow-up. Hazard ratios (HRs) and 95% confidential intervals (CIs) for overall survival were estimated using Cox regression analysis. Variables with probability thresholds (P) < 0.05 from the univariate analysis were included in multivariate regression models and backward elimination. A multivariate P value less than 0.05 was considered statistically significant. Kaplan–Meier curves and log-rank testing were used to analyze the overall survival data.
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2

Age-Specific Trends in Respiratory Virus Infection

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Statistical analyses were performed using IBM SPSS statistic for Windows, version 21 (IBM Corp., Armonk, NY). The analysis was conducted by dividing individuals into three age groups (15–29, 30–59 and > 59years old). Rate of RV infection was compared between three periods of time (July 2016-June 2017, July 2017-June 2018, July 2018-December 2019). A Chi-square table was used to compare the percentages of infected individuals between age groups and studied periods. All comparisons were two-sided and p-value < 0.05 was considered to be statistically significant.
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