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22.0 for windows

Manufactured by IBM
Sourced in United States

22.0 for Windows is a software package for Windows operating systems that provides laboratory equipment functionality. The core function of this product is to enable the control and monitoring of various laboratory instruments and devices through a Windows-based interface.

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Lab products found in correlation

4 protocols using 22.0 for windows

1

Kasai Operation Outcomes in AGS

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The medical records of 15 patients diagnosed with AGS and followed at the Department of Pediatrics, Samsung Medical Center (Seoul, Korea) between 1999 and 2014 were retrospectively reviewed. The diagnosis of AGS required at least three of the five major clinical features; chronic cholestasis, congenital heart disease, "butterfly-like" vertebrae, posterior embryotoxon, and peculiar faces, or JAG1 gene mutation. Complex intracardiac disease was defined as a need for intervention or the critical condition having heart failure, hypoxemia, or hemodynamic instability [4 (link)].
Patients were divided into two groups according to whether they had received Kasai operation during infancy. Patients who had received Kasai operation during infancy were included in the "Kasai group", and those who had not received Kasai operation were included in the "non-Kasai group". We compared the clinical features, prognosis, and mortality of the patients in the two groups. Comparison between the two groups was conducted by the Fisher's exact test using the IBM SPSS Statistics ver. 22.0 for Windows (IBM Co., Armonk, NY, USA). This study was approved by the institutional review board of Samsung Medical Center (2015-01-060-001).
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2

Analysis of Variance in Biology

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Data were subjected to ANOVA with the SPSS program 22.0 for Windows (IBM Corp., Armonk, NY, USA) using a general linear model. The comparison of means was carried out by Tukey's multiple range test at P < 0.01.
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3

Statistical Analysis of Experimental Data

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All results were expressed as mean ± standard deviation (SD) unless indicated otherwise notified. Statistical analysis was performed with Statistical Product and Service Solutions 22.0 for Windows (SPSS 22.0 Inc., Chicago, IL, USA). ANOVA with multiple comparisons was used between groups. Differences at P < 0.05 were considered statistically significant.
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4

Predictive Factors for Severe Outcomes in Burn Patients

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Statistical Package for the Social Sciences 22.0 for Windows was used for the analysis of the data. Chi-square test or Mann–Whitney U-test were used to compare the groups. Possible alternative cut-off points for the TBSA, ABSI, and FAC were evaluated using area under ROC curve (AUC) statistics. AUC was found over 0.70 for all parameters. The correlation between continuous variables was analyzed by Spearman correlation test. Logistic regression model was used to estimate the Odds ratios (OR) and 95% confidence interval (CI). The prognostic ability of parameters was evaluated for severe outcome (death or major amputation) in both univariate and multivariable regression models. The values of p<0.05 were considered as statistically significant.
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