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Statistics software version 20

Manufactured by IBM

Statistics software version 20 is a comprehensive data analysis tool developed by IBM. It provides a wide range of statistical functions and capabilities to support research, decision-making, and data-driven insights. The software is designed to handle complex data sets and perform advanced statistical analyses.

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Lab products found in correlation

2 protocols using statistics software version 20

1

Mycotoxin-induced Oxidative Stress Response

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For the measured parameters (Hsp70 expression, antioxidant parameters, clinical chemical parameters and oxidative capacity), analysis of variance (ANOVA) was carried out by using IBM Statistics software version 20 (2009). To identify the differences between single treatments, the post hoc Tukey’s multiple comparison test was used. The test was considered significant when the probability was lower than 0.05 (P < 0.05). Furthermore, according to the P-value, the significance level between intergroup was classified into significant and highly significant: 0.05 and 0.01, respectively.
If a significant difference was detected between two or multiple groups, the Bliss independence method was applied to ascertain possible, mycotoxin-treatment associated interactions (Bliss 1939 ). Results are shown in a textual form, merely for the cases where ANOVA also provided significant inter-group differences.
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2

Syntax Comprehension in ALS Subtypes

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Demographics, motor function, cognitive ability, and performance on the TROG were compared across the ALS, ALS-FTD, PNFA, and control groups. Subsequently, patients with ALS and ALS-FTD were re-classified according to the mode of presentation in order to investigate the relationship between bulbar impairment and impaired syntactic comprehension. Specifically, patients were grouped in limb-and bulbar-onset groups, as well as a cognitive/mixed group, and performance on the TROG was compared between groups.
All analyses were conducted using IBM Statistics Software version 20. Normal distribution of continuous variables was examined via Kolmogorov-Smirnoff tests. Overall group effect was examined via independent samples t-tests or one-way analyses of variance (ANOVA) with Tukey post-hoc comparisons for parametric data, and Kruskal-Wallis with post-hoc Mann-Whitney U Tests for nonparametric data. Between-group differences in categorical variables were assessed with Chi-square tests. To correct for multiple comparisons, significance level was p <.01.
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