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Pasw spss ver 18.0 for windows

Manufactured by IBM
Sourced in United States

PASW SPSS ver. 18.0 for Windows is a software application for statistical analysis. It provides tools for data management, analysis, and presentation.

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Lab products found in correlation

4 protocols using pasw spss ver 18.0 for windows

1

Obesity and Sarcopenia Impact on Kidney Function

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We analyzed participant characteristics according to the four groups based on obesity and sarcopenic statuses. Continuous variables were analyzed by one-way analysis of variance and expressed as mean±SD, and categorical variables were analyzed using the chi-square test and expressed as a proportion. Logistic regression analyses were conducted to determine the odds ratio (OR) and 95% confidence interval (CI) to estimate the association between SO and decreased eGFR after adjusting for confounding variables, such as age, height, energy/protein intake, vitamin D, DM, HTN, hyperlipidemia, current smoking, alcohol intake, and regular exercise. All of the statistical analyses were conducted using the PASW SPSS ver. 18.0 for Windows (SPSS Inc., Chicago, IL, USA). The P-value <0.05 was considered statistically significant.
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2

Intra- and Inter-Rater Reliability of Height Measurement

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Data are expressed as mean±standard deviation or number (%). The intra- and inter-rater reliabilities were the degree of agreement between the heights measured twice by measurer A and between the height first measured by measurer A and measured by measurer B, respectively. The intra-and inter-rater reliabilities of the InLab S50 were assessed using the intraclass correlation coefficient (ICC). The agreement between InLab S50 and HM-201 was assessed using Pearson’s correlation coefficient and Bland-Altman analysis. All statistical analyses were performed using PASW SPSS ver. 18.0 for Windows (SPSS Inc., Chicago, IL, USA). Statistical significance was set at P<0.05.
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3

Statistical Analysis of Experimental Data

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All statistical analyses were performed using PASW SPSS ver. 18.0 for Windows (SPSS Inc., Chicago, IL, USA). A probability value (p) less than 0.05 was considered statistically significant. A Pearson’s correlation coefficient r-value (representing the strength of correlation) greater than zero was considered a positive association, and values closer to +1 were considered a strong positive association. This study was approved by the Domain Specific Review Board, National Healthcare Group, Singapore (reference no., 2018/00714) and a waiver of informed consent was granted. The study was performed in accordance with the ethical standards mentioned in the most recent version of the 1964 Declaration of Helsinki.
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4

Statistical Analysis of Experimental Data

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PASW SPSS ver. 18.0 for Windows (SPSS Inc., Chicago, IL, USA) was used to analyze the data and to perform statistical analyses. Continuous variables are expressed as means±standard deviations, and categorical variables are expressed as median values. Analysis of variance was used to compare continuous variables across the experimental groups. The Kruskal-Wallis test was conducted to compare pathological findings and Tarlov scores. Significant results were evaluated using the post hoc test with the Mann-Whitney rank sum law. For hemodynamic variables, the bootstrap-t method or the paired t-test using a bootstrap was used to compensate for the low number of samples. All p-values <0.05 were considered to indicate statistical significance.
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