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Statistic package for social sciences spss

Manufactured by IBM
Sourced in United States

SPSS® is a statistical software package developed by IBM. It is designed to analyze and manage data, performing a variety of statistical procedures. The core function of SPSS is to provide users with tools for data manipulation, analysis, and presentation.

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Lab products found in correlation

2 protocols using statistic package for social sciences spss

1

Predictive Factors for Dichotomic Outcomes

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Data are expressed as mean ± standard deviation (SD), median (25th – 75th percentile) or number (percentage) as appropriate. The Student's T test was used for comparing means of continuous variables between two groups; highly skewed variables were ln-transformed before the analysis. Fisher's exact test was used to compare categorical variables. The one-way analysis of variance (ANOVA) and the Kruskal–Wallis H test were used for comparing three or more groups, as appropriate. Univariate and multivariate logistic regression models were built to assess the predictivity of continuous or categorical variables for a dichotomic dependent variable, expressed as odds ratio (OR) and 95% confidence interval (95% CI). All tests were two tailed. Analyses were performed using the Statistic Package for Social Sciences (SPSS)® software, Version 23 (IBM).
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2

Statistical Analysis of Group Differences

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Statistical analysis was performed using Statistic Package for Social Sciences (SPSS) version 24.0 (IBM Corp., Armonk, NY, USA). Differences were considered to be statistically signiflcant when P<0.05. The chi-square test was used to compare differences between the two groups for each variable, and the Student's t-test was used for quantitative variables.
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