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120 protocols using prism 8 for windows

1

Validating BIA Methods Against DXA

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Estimations of FM, FFM, ALM, and tFM from the validation sample and by the three BIA methods were contrasted with those of DXA as the reference standard by means of Pearson correlation, linear regression, and Lin’s concordance coefficients.
The Bland-Altman method [13 (link)] was used to assess agreement between each BIA method with DXA as the reference standard. The differences of BC values estimated by each BIA device, minus the values estimated using DXA (y-axis), were plotted against the average of said two measurements (x-axis). Differences and limits of agreement were calculated. A linear regression analysis with differences as the dependent variable and the average of measurements as the independent variable was carried out for each BIA method in order to detect if there was a proportional difference [13 (link)].
Statistical analyses were performed using SPSS for Windows version 21.0 (SPSS Inc., Chicago, IL, USA), and Prism 8 for Windows (GraphPad Software, Inc., San Diego, CA, USA). Prediction equations were carried out using R software, version 3.0.1 (The R Foundation for Statistical Computing, Vienna, Austria). Statistical significance was set at p < 0.05 for all analyses.
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2

Probiotic Supplementation in Animal Health

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The results are presented as percentage (e.g., hatchability, recovery of probiotic, mortality etc.) and means with standard errors of mean (SEM) (cfu, body weight). For normalizing cfu counts, log10 transformation was applied. For recovery of probiotic, Prism 8 for Windows (version 8.4.0, GraphPad Software, Inc.) was applied for statistical analysis. Hellinger transformation and subsequent unrestricted principal component analysis of OTU compositions, as well as Kaplan–Meier plots of survival curves followed by comparison by log-rank was done in RStudio Version 1.4.1103 running R version 4.03 (2020–10-10), using the packages: survival (3.2–10) [30 ], survminer (0.4.9) (Kassambara et al., 2021), labdsv (2.0–1) [31 ] and readxl (1.3.1) [32 ]. An alpha level of 0.05 was set. A null-hypothesis stating that groups did not statistically significantly differ was abandoned at P-values < 0.05.
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3

Pharmacokinetic Analysis of Drug Formulations

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All statistical analyses were performed using GraphPad Prism 8 for Windows, Version 8.2.1 Software (San Diego, CA, USA). Regarding the plasma concentration–time curve, two-way ANOVA followed by Sidak’s multiple comparisons test was conducted to compare each mean with the others at all time points and assess the significance between groups, while a two-tailed unpaired t-test was used to assess the pharmacokinetic parameters of the formulations. Results with p < 0.05 were considered significant.
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4

Correlation Analysis of Cytokine Levels

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Statistical analysis was performed using Prism 8 for Windows (Version 8.3.0, GraphPad Software, Boston, MA, USA) and Python 3.9.13. A significance level of 0.05 was used for all analyses. Pearson’s correlation was used to measure the strength and direction of a linear relationship between cytokine concentrations and/or endpoints.
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5

Statistical Analysis of Experimental Data

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Statistical analyses were performed using GraphPad Prism 8 for Windows. Unpaired two-tailed t tests were performed for individual comparisons between two groups. Discovery was determined using the two-stage linear step-up procedure of Benjamini, Krieger and Yekutieli, with Q = 5%. Each analysis was performed individually, without assuming a consistent SD. Statistical tests showed a normal distribution in all comparison groups. The p values for statistically significant differences are highlighted in the figure legends.
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6

Statistical Analysis of Experimental Data

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GraphPad Prism 8 for Windows (GraphPad Software, San Diego, CA, USA) was used to perform all statistical calculations. Three tests were performed to evaluate the normality of the data distribution: the KS normality test, D’Agostino and Pearson omnibus normality test and Shapiro–Wilk normality test. For data with parametric distribution, a one-way ANOVA was used to perform the statistical comparisons, followed by Dunnett’s multiple comparisons test. Statistical comparisons between groups in experiments with two variables were made using two-way ANOVA, followed by Holm–Šídák’s multiple comparisons test. Details of the performed statistical analysis are described in the figure legend. In all cases, differences were considered to be significant for p values lower than 0.05.
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7

Robust Statistical Data Analysis

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Statistics were analyzed using Prism 8 for Windows (GraphPad software Inc.). The specific statistical tests used are indicated in the figure legends. Detailed statistical information is provided in the statistical data analysis file available online in the supplementary material.
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8

Statistical Analysis of Experimental Indicators

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Data are expressed as means ± SD. For comparison of the above indicators, unpaired two-tailed t-test for multiple comparisons was used. The level of significance was set at p < 0.05. Statistical analyses were performed using Prism 8 for Windows (Graphpad software, Inc., La Jolla, CA, USA).
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9

Cryopreservation Media Evaluation Protocol

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Statistical analysis was performed using Prism 8 for Windows (Graphpad Software, San Diego, CA, USA). Unless otherwise stated, the effects of cryopreservation media were assessed using RM (paired) one-way ANOVA, followed by a post-hoc analysis to account for multiple testing. Normality was assessed before, using the D’Agostino–Pearson normality test. Dunnett’s post-hoc test was used to compare the samples after cryopreservation to conditions before freezing. Afterwards, the means between different media were compared against each other, and adjustment for multiple comparison was performed using Tukey’s post-hoc test. To reliably compare dispersion of the measured values under the individual conditions, coefficient of variation (standard deviation normalized relative to the mean) values were used. Unless otherwise stated, summary data are shown as bar charts with mean ± s.d. and all data points. In the main text results, the detailed data for all experiments are given in round brackets with median values with unit and inter-quartile range in the form of the 25th to 75th percentile in square brackets (MEDIAN UNIT [IQR]).
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10

Cytokine-induced Immune Cell Activation

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All bar graphs show mean and ± SEM. Difference was taken significant if the P value was <0.05 except the case of multiple one sample t-tests. * represents P < 0.05 and ** represents P < 0.01. In each experiment, “n” indicates the number of independent experiments from different donors. All the analyzed samples showed normal distribution in Shapiro-Wilk normality test. Statistical analysis was performed using GraphPad Prism 8 for Windows (La Jolla, California, USA). We used Sudents t-test to compare pairs of data sets, and ANOVA when we analyzed more than two data sets. As a post hoc test for multiple comparisons we used Tukey’s method when every sample was compared with every other sample and Dunnett’s method when every sample was compared with a control sample. We used Sidak’s test to compare some indicated sample pairs.
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