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Systat version 13

Manufactured by Grafiti LLC
Sourced in United States

SYSTAT version 13 is a statistical software package that provides a comprehensive set of analytical tools for researchers and data analysts. The software offers a wide range of statistical methods, including regression analysis, ANOVA, multivariate techniques, and time series analysis, among others. SYSTAT version 13 is designed to handle complex data sets and assist users in conducting advanced statistical analyses.

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34 protocols using systat version 13

1

Statistical Analyses of Seizure Frequency

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Statistical analyses were conducted using SYSTAT version 13.0 (Systat Software Inc., CA). The non-parametric Friedman test was used to detect differences in seizure frequency across the 8 different time points with the level of significance set to 0.05. For exploratory secondary analyses, separate non-parametric, Wilcoxon signed-rank tests, were used to compare baseline scores to post-treatment scores on the BDI-II, STAI, DES, SOMS-CD, and SF-36. The level of significance for all tests was set to 0.05, two-tailed.
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2

Assessing Mortality Risk with APACHE II

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Baseline patient characteristics and treatment parameters were compared between treatment groups using the Student t test and Kruskal-Wallis test for continuous variables and the Fisher exact test for categorical variables. Classification and regression tree (CART) analysis was used to identify the 30-day mortality split in APACHE II scores to assess which patients may be at a greater risk for mortality. Statistical significance was set at a level of P < .05. Statistical analyses were performed using Systat, version 13.0 (Systat Software, Inc., San Jose, CA, USA).
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3

Unpaired Student's t-test Analysis

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All statistical analyses were performed using Systat version 13.0 (Systat Software, Chicago, IL). All continuous variables were compared via an unpaired Student's t test with two-tailed distribution; categorical variables were compared with the Fisher's exact test. Data were expressed as mean ± standard deviation (SD) unless otherwise noted. P values ≤0.05 were considered statistically significant.
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4

Normality Assessment and Multivariate Analysis

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The data collected in this study were found to be normally distributed. Data from Experiments 1 and 2 were evaluated by analysis of variance. Experiment 3 data were evaluated by factorial analysis of variance and relationships among variables were also evaluated by regression analysis. Data analysis was conducting using Systat version 13.0 (Systat Software, Inc., San Jose, CA, USA) and GraphPad Prism, version 5.2 (GraphPad Software, Inc., La Jolla, CA, USA).
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5

Statistical Analysis of Longitudinal Data

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SYSTAT version 13.1 (SYSTAT Software Inc., San Jose, CA, USA) was used to analyze the data. Differences between baseline and follow-up scores were examined using paired t-tests, with Bonferroni and Dunn-Sidak corrections where applicable. A p-value of p < 0.05 was considered significant.
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6

Multivariate Analysis of GH Secretion

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The influence of variables on GH secretion was explored with regression techniques. Multivariate linear regression analysis of untransformed GH measures were used to examine correlations between preselected GH parameters (dependent variables) and one or more of age, BMI, gender and IGF-I (independent variables).Statistical comparisons by gender were carried out by unpaired two-tailed Student’s t-test. Data are given as median and range, or as mean and SD, as specified. Analyses were done with Systat, version 13.1 (Systat Software GmbH, Erkrath, Germany). Figures were constructed in Sigmaplot 13 (Systat Software GmbH, Erkrath, Germany). P<0.05 was considered significant.
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7

Cell Shape and Motility Analysis

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Statistical tests were performed using Systat version 13.1 (Systat Software, Chicago, IL). Significance differences among cell shape and phase parameters, and average speed were tested using ANOVA followed by post hoc pairwise comparisons with the Tukey’s test. The significance level was set at P < 0.05.
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8

Sapovirus prevalence in spotted hyenas

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To investigate differences in the prevalence of sapovirus in the spotted hyena population studied between 2001 and 2012 we first tested for differences in the prevalence of infection across years, using a log-likelihood ratio-test. For this test we only considered years with a sample size of at least 20 individuals, thus years 2001, 2002 and 2012 were excluded where sample sizes were 17, 11 and 5, respectively. We also checked for possible differences between age categories, using the same statistical test. These analyses were run in Systat version 13 (Systat Software Inc., Richmond, VA, USA).
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9

Arrhythmia Detection in Trauma Care

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The presence of arrhythmias was detected by the researchers during the study based on the 3-lead ECG. Numerical values are expressed as mean ± standard deviation. Animals were grouped by presence or absence of arrhythmias. Mean survival time was estimated by non-parametric Kaplan-Meier probabilities and the log-rank test was used to compare animals with those without arrhythmia. Each parameter was followed throughout the experiment. Changes in each parameter over time were calculated for the following time intervals: baseline to end-of-bleeding (ΔBaseline), end-of-bleeding to end-of-first hour of observation (ΔFU1), and end-of-second hour of observation (ΔFU2). This was because we aimed to look mainly at the time window which best represents the "golden hour" as defined in trauma care. Repeated measures ANOVA was used with Holm's modification of Bonferroni correction (HMBC) for multiple comparisons for within-group-comparison over time, and the 2-tailed Student t test was used for direct comparison between groups with HMBC for three comparisons of the changes from post-bleeding (baseline, FU1, FU2). A value of P < 0.05 was considered significant. Statistical analysis was performed using SYSTAT, version 13 (Systat Software, Chicago, Ill).
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10

Nano-TiO2 Effects on Microbial Diversity

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One-way ANOVA was used to test the effects of nano-TiO2 treatments on the relative abundances of viable cells, bacterial diversity, and relative abundances of specific bacterial phyla. Relative abundance data were arcsine square root transformed prior to ANOVA. In cases of significant treatment effects (p<0.05) Tukey's post hoc test was used for pairwise comparisons. ANOVAs and Tukey's tests were performed with Systat version 13 (Systat Software, Inc.).
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