Spss 21.0

Manufactured by IBM

SPSS 21.0 IBM® is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The software is designed to handle a wide range of data types and offers a variety of statistical techniques, including regression, correlation, and nonparametric tests.

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Lab products found in correlation

Graph pad prism 5 program, by GraphPad (1 mentions)

Close spelling variants of this product

SPSS 21.0 (4987 citations) SPSS 21.0 statistical software (428 citations) SPSS version 21.0 for Windows (157 citations) SPSS 21.0 statistical package (51 citations) SPSS ver. 21.0 for Windows (42 citations) SPSS Statistics 21.0 for Windows (34 citations) SPSS version 21.0 statistical software (19 citations) SPSS 21.0 package (17 citations) SPSS 21.0 Statistics software (9 citations) SPSSTM (8 citations)

2 protocols using spss 21.0

Statistical Analysis of Research Data

Check if the same lab product or an alternative is used in the 5 most similar protocols

Continuous variables were tested for normality using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Values are expressed as median and percentiles for non-parametric data, and as mean and standard deviation for parametric data. Categorical data are presented as absolute values and percentages and were tested using the Pearson χ2 test and Fisher’s exact test, when applicable.
Non-parametric data were compared using the Mann-Whitney U test for two independent samples or the Kruskal–Wallis test with a Müller-Dunn post-hoc test for three or more samples. Statistical significance was set at a p ≤ 0.05. Statistical analyses were performed using SPSS 21.0 IBM®.

Sandoval R.L., Leite A.C., Barbalho D.M., Assad D.X., Barroso R., Polidorio N., dos Anjos C.H., de Miranda A.D., Ferreira A.C., Fernandes G.D, & Achatz M.I. (2021). Germline molecular data in hereditary breast cancer in Brazil: Lessons from a large single-center analysis. PLoS ONE, 16(2), e0247363.

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Comprehensive Statistical Analysis Techniques

Check if the same lab product or an alternative is used in the 5 most similar protocols

Statistical analyses were performed using SPSS 21.0 IBM® and the GraphPad Prism 5
program (GraphPad Software, Inc. 2007). Continuous variables were tested for
normality with the Kolmogorov–Smirnov and Shapiro–Wilk tests. The values are
expressed as median and percentiles 25 and 75 for non-parametric data. The
categorical data are presented as absolute values and percentages and were
tested using Pearson χ² test and Fisher exact test, if applicable.
Non-parametric data were compared using the Mann–Whitney U test with a
Bonferroni correction for two independent samples. The association between
continuous variables was performed by using Spearman Correlation and the good
performance or linearity was determined by “r” square value ≥ 0.8. Multiple
Linear Regression adjusted for clinical factors and expressed by “B” coefficient
and confidences intervals performed the predictive model for a continuous
variable. The value of p < .05 was considered statistically
significant and graphic correlations were performed by non-Linear
regression.

Pinto R.S., Ferreira G.S., Silvestre G.C., Santana M.D., Nunes V.S., Ledesma L., Pinto P.R., de Assis S.I., Machado U.F., da Silva E.S, & Passarelli M. (2022). Plasma advanced glycation end products and soluble receptor for advanced glycation end products as indicators of sterol content in human carotid atherosclerotic plaques. Diabetes & Vascular Disease Research, 19(2), 14791641221085269.

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