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Pasw ver 18 for windows

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PASW ver. 18 for Windows is a software product that provides data analysis and statistical modeling capabilities. It offers a range of tools for data management, manipulation, and analysis. The software is designed to work on the Windows operating system.

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PASW 18.0 (156 citations) PASW ver. 18.0 (18 citations) PASW SPSS ver. 18.0 for Windows (4 citations) SPSS-PASW statistics software ver. 18.0 for Windows (2 citations) PASW Statistics for Windows ver. 18.0 (2 citations) PASW ver. 18.0 for Windows (2 citations) PASW Statistics ver. 18.0 for Windows (2 citations)

2 protocols using pasw ver 18 for windows

1

Predictive Factors for Gram-Positive SBP

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Independent t tests were used to compare continuous variables, and Chi-square or Fisher exact tests were used to compare categorical variables. Predictive factors for gram-positive bacterial infections were determined by a multivariate binary logistic regression analysis including significant univariate predictors (P < 0.05) using a stepwise backward elimination from the total cohort of culture-positive cases of SBP. P-values of <0.05 were considered statistically significant. PASW ver. 18 for Windows (SPSS Inc., Chicago, IL) was used for analyses.
Kim J.H., Jeon Y.D., Jung I.Y., Ahn M.Y., Ahn H.W., Ahn J.Y., Ku N.S., Han S.H., Choi J.Y., Ahn S.H., Song Y.G., Han K.H, & Kim J.M. (2016). Predictive Factors of Spontaneous Bacterial Peritonitis Caused by Gram-Positive Bacteria in Patients With Cirrhosis. Medicine, 95(17), e3489.
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2

Comparing Prescription Drug Interactions

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Total numbers of patients, prescriptions, and alerts were estimated by the admitting department. We report continuous variables as the mean and standard deviation and categorical variables as numbers and percentages. The prevalence of DDI alerts was compared between groups using t-tests and chi-square tests. For all tests, a two-tailed p-value of <0.05 was considered to indicate statistical significance. All analyses were performed using PASW ver. 18 for Windows (SPSS Inc., Chicago, IL, USA).
Ahn E.K., Cho S.Y., Shin D., Jang C, & Park R.W. (2014). Differences of Reasons for Alert Overrides on Contraindicated Co-prescriptions by Admitting Department. Healthcare Informatics Research, 20(4), 280-287.
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