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Spss statistical program version 21

Manufactured by IBM
Sourced in United States

SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Version 21 provides a comprehensive set of tools for data access, preparation, analysis, and presentation.

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5 protocols using spss statistical program version 21

1

Cardiac Strain Analysis for Arrhythmia

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The SPSS statistical program version 21 (IBM Corporation, Armonk, NY, USA) and R version 4.0 (R Core Team, 2021) were used for the statistical analyses. Continuous data are presented as the mean ± standard deviation (SD) or median {IQ range}. Fisher’s exact test and the chi-squared test were used for categorical data comparison and the Wilcoxon test or the T-test were used for the comparison of continuous variables. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cutoff values of the strain parameters and to determine the sensitivity and specificity of each variable for detecting arrhythmic outcomes. A p-value < 0.05 was considered significant.
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2

Immunological and Behavioral Responses in Hens

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Statistical analysis was performed using the IBM SPSS statistical program version 21. Hen behavior, yolk IgY concentration, plasma IBV titres, yolk and plasma corticosterone, and H:L cell counts were analyzed using a general linear model (GLM) with fixed effects of hen bodyweight, gender, and LPS treatment and interactions fitted into the model. Bodyweight was analyzed for each bird using repeated measures with the same parameters fitted into the model. Organ weights were analyzed using a GLM, with day 42 bodyweight fitted into the model as a co-variate. A Fisher’s exact test was used to determine the sex ratio of the progeny from each hen bodyweight group. A P value of <0.05 was deemed significant, with a P value of >0.05 and <0.10 considered a trend. All data presented are the mean ± SEM.
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3

Quantitative Analysis of CD105 Expression

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An image analyzer Leica Q win V.3 program installed on a computer in the Department of Histology and Cell Biology, Faculty of Medicine, Ain Shams University, Cairo, was used for the morphometric study for sections of all groups. The computer was connected to a Leica DM2500 microscope (Wetzlar, Germany). The mean area percentage of CD 105 immunohistochemical reaction was measured from five different slides obtained from each animal. Five haphazardly selected nonoverlapping fields were examined for each slide.
All data of morphometric studies were collected and subjected to statistical analysis. The mean value and the standard deviation (SD) were calculated in different groups using SPSS statistical program version 21 (IBM Inc., Chicago, Illinois, USA). Data were statistically analyzed using one-way analysis of variance with post-hoc test for comparison of means. Values were presented as mean ± SD. The significance of the data was determined by P value (probability of chance) where P < 0.05 was considered statistically significant.
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4

Determinants of Arterial Stiffness in Stroke

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Statistical analyses were performed using the IBM SPSS statistical program version 21 (IBM, Armonk, New York, USA). Data are presented as mean ± standard deviation for continuous variables and as percentages for categorical variables. The study population was divided into groups with normal and high for age PWV. Comparison of groups was done by Student's t-test and Chi-squared test as appropriate. Comparison between the stroke subtypes was done by analysis of variance (ANOVA) with Scheffe’s post hoc test for PWV and a general linear model with Sidak’s post hoc test for high for age PWV. The variable serum creatinine was skewed and therefore log transformed. Univariate covariates of PWV were identified by Pearson’s correlation coefficient and univariate logistic regression analysis, as appropriate. Independent covariates of PWV were identified in multivariate linear regression analysis and reported as standardized β-coefficients and p-values. Covariates of high for age PWV were identified using uni- and multivariate logistic regression analyses and reported as odds ratio (OR) and 95% confidence intervals (CI). A p value ≤0.05 was considered statistically significant in both uni- and multivariate analyses.
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5

Statistical Analysis of Measured Parameters

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Mean and standard deviation (SD) of measured parameters were statistically analyzed using one way ANOVA with post-hoc test using SPSS statistical program version 21 (IBM Inc., Chicago, Illinois, USA). Probability of p value<0.05 is considered significant (17 ).
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