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Systat 12

Manufactured by IBM
Sourced in United States

Systat 12 is a data analysis software package designed for scientific and statistical computing. The core function of Systat 12 is to provide users with a comprehensive suite of tools for data management, visualization, and statistical analysis. The software supports a wide range of data types and offers a variety of statistical methods, making it a versatile tool for researchers, analysts, and data scientists working in various fields.

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8 protocols using systat 12

1

Statistical Analysis of Clinical Data

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Data were analyzed using SAS 9.2, SPSS 20.0, Stata 10.1, MedCalc 9.0.1, Systat 12.0 and R environment ver.2.11.1 (IBM Corporation, Armonk, NY, USA).
Descriptive and inferential statistical analyses were carried out in the present study. Results on continuous measurements are presented as mean ± standard deviation (SD) (Min–Max), and results of categorical measurements are presented in number and percentage. Significance is assessed at the level of 5%. The following assumptions on data were made:

Dependent variables should be normally distributed.

Samples drawn from the population should be random; cases of the samples should be independent.

Analysis of variance was used to find the significance of study parameters between three groups of patients. Student’s t-test (two tailed, independent) was used to find the significance of study parameters on a continuous scale between two groups (intergroup analysis) on metric parameters. Chi-square test was used to find the significance of study parameters on a categorical scale between two or more groups. The reliability of measurements was evaluated by kappa statistics.
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2

Statistical Software Analysis Protocol

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The Statistical software, namely SAS 9.2, IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp, Stata 10.1, MedCalc 9.0.1, Systat 12.0 and R environment ver. 2.11.1 were used for the analysis of the data. Microsoft word and Excel have been used to generate Graphs and Tables.
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3

Trefoil Factor Levels Analysis

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(a) Comparison of the two groups with respect to trefoil factor levels was assessed using Mann–Whitney U-test with a P = 0.05. (b) Correlation between the clinical parameters and trefoil factor 3 was determined by Spearman's rank correlation method. A level of significance of 5% was assumed (P < 0.05). Statistical software: The statistical software namely : SPSS 20.0, Stata 8.0, MedCalc 9.0.1, and Systat 12.0, (IBM, United States). were used for analysis of the data.
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4

Neonatal Insult and Long-Term Effects

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In order to allow a direct comparison, much of the methodology of these studies is identical to our previous report which used bladder re-inflammation as an adult insult29 (link) rather than hind limb inflammation. Anesthetics, drug doses, timing and other variables were therefore chosen to be consistent with that other report. Studies were performed in 171 female Sprague-Dawley rats and were approved by the University of Alabama at Birmingham’s Institutional Animal Care and Use Committee and followed the ethical guidelines of the International Association for the Study of Pain53 (link). To obtain female rat pups, timed pregnant females were obtained from Envigo Laboratories (Formerly Harland, Indianapolis, IN) and date of birth verified by daily observation of cages. As pups, separate groups of the female pups underwent treatments for three consecutive days on P14–16. Following each treatment, pups were returned to home cages. Subsequently, rats were raised using standard husbandry methods with weaning from the dams at three to four weeks of age. All rats were raised to 12–15 weeks of age and then underwent additional testing. For statistical analyses, the SYSTAT 12 (SPSS, Inc. San Jose, CA, United States) software package was utilized.
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5

Microsatellite Analysis and Sequence Comparison

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The RM190 microsatellite was analyzed using the GeneMapper software (Applied Biosystem). Sequence assembly was assessed with the ContigExpress tool of Vector NTI Software (Invitrogen) using the Nipponbare genomic sequence as reference. Sequence comparison was carried out by MultAlin software (http://multalin.toulouse.inra.fr/multalin/). All data were analysed with the Systat 12 software (SPSS Inc., Chicago, IL, USA). The relationships between numerical variables (AAC and grain biometrical characters) were evaluated by Pearson correlation coefficients and regression analysis. The associations between numerical variables (AAC) and categorical variables (marker haplotypes) were analysed according to the General Linear Model (GLM) procedure.
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6

Comparative Statistical Analysis of Experimental Data

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Descriptive statistics are reported as group mean ± SEM. Statistical comparisons were made using one way and/or repeated measures analysis of variance (ANOVA) with Tukey’s HSD used for pairwise post hoc comparisons (Systat 12; SPSS, Inc. San Jose, CA, USA). Statistical significance for all analyses was set at p≤0.05.
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7

Statistical Analysis of Experimental Data

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Repeated measures one- and two-way ANOVAs were performed using Systat 12 (SPSS, Inc.; San Jose, CA, United States). Non-parametric analysis was performed using the Wilcoxon-Mann–Whitney U-test. Two-tailed probability measures < 0.05 were considered statistically significant. Individual comparisons represent unpaired t-tests unless otherwise stated. Data are presented as mean ± SEM unless otherwise described.
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8

Nonparametric Statistical Analysis Protocol

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Data treatment and statistical analyses (Kruskall-Wallis nonparametric ANOVA and continued by ad hoc test preferentially Scheffé's test and Mann-Whitney U-test) were performed by using Systat12 (SPSS, Chicago, IL). P Ͻ 0.05 was considered to be significant. A nonparametric kernel density estimator was preferred to rule out a functional form on the distribution function curves. Results are expressed as the means Ϯ SD.
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