Pasw for windows version 19

Manufactured by IBM

Sourced in United States

PASW for Windows version 19.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including advanced statistical techniques, data mining, and predictive modeling. The software is designed to work on the Windows operating system.

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PASW 19.0 (9 citations) Version 19.0 (6 citations) PASW version 19.0 (5 citations)

3 protocols using pasw for windows version 19

Statistical Analysis of Categorical Data

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All data were analyzed using PASW for Windows version 19.0 (SPSS Inc., Chicago, IL, USA). The results were described as numbers, frequencies, and percentages. The chi-square test and Fisher’s exact test were used for the analysis of categorical data and independence between variables. The Mann-Whitney U test was used to compare differences not normally distributed between groups. The results were assessed at a 95% confidence interval and p<0.05 was accepted as significant.

Bolaman A.Z., Turgutkaya A., Sahip B., Selim C., Eroğlu Küçükdiler H., Ertop Ş., Sargın G, & Yavaşoğlu İ. (2021). Original Versus Generic Lenalidomide in Patients with Relapsed/Refractory Multiple Myeloma: Comparison of Efficacy and Adverse Events. Turkish Journal of Hematology, 38(1), 41-48.

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Adolescent Girls' Obesity Factors

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The data were analyzed using Predictive Analytics Software (PASW) for Windows version 19.0 (SPSS Inc., 2010, Chicago, IL). Preliminary analysis involved descriptive statistics and independent t-tests for variables by categories of girls who were non-obese versus those who were obese. Chi-square tests were used to examine variables by comparing girls in the following BMI-for-age weight status categories and percentiles: (a) healthy weight (greater than 5^th and less than 85^th) versus overweight plus obese (equal to or greater than 85^th), (b) overweight (equal to or greater than 85^th and less than 95^th) versus obese (equal to or greater than 95^th), and (c) non-obese (less than 95^th) versus obese (equal to or greater than 95^th). Bivariate analyses, specifically Pearson correlation coefficients, were used to test for associations between the demographic, cognitive, affective, and behavioral variables, and BMI.

Vanden Bosch M.L., Robbins L.B., Pfeiffer K.A., Kazanis A.S, & Maier K.S. (2014). Demographic, Cognitive, Affective, and Behavioral Variables Associated With Overweight and Obesity in Low-Active Girls. Journal of pediatric nursing, 29(6), 576-585.

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Statistical Analysis of Acromegaly Effects

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PASW for Windows version 19.0 (SPSS, Inc., Chicago, IL) was used to perform data analysis. All data are described as mean ± SEM unless otherwise stated. The paired t-test was used to compare parameters before and after trans-sphenoidal surgery. Nadir GH was defined as the lowest values at any time after oral glucose ingestion. Between-group differences were analyzed using ANOVA with post hoc testing using Fisher's multiple comparison tests. Nonnormally distributed values were log transformed. Pearson's correlation tests were used to assess the relationship between IGF-1 and GH. Differences among the groups of patients with acromegaly in the prevalence of diabetes, impaired fasting glucose, and treated hypertension were evaluated using the χ 2 test. A two-tailed p < 0.05 was considered to be statistically significant.

Yen Y.S, & Chen H.S. (2020). Changes in cardiovascular risk factors in patients with acromegaly after trans-sphenoidal adenomectomy. Endocrine journal, 67(12).

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