Spss statistics software for windows version 27

All the statistical analyses were performed according to the intention-to-treat principle. The primary and secondary outcomes were analyzed by calculating the 95% CIs of the differences using a standard normal deviate test for proportions¹⁷ as well as a t test for continuous variables. Proportions, proportion differences, and risk ratios (RRs) with 95% CIs were calculated for categorial outcomes. Because the widths of the CIs were not adjusted for multiplicity, the inferences drawn may not be reproducible. Missing data were rare. All the analyses were performed using IBM SPSS Statistics software for Windows version 27.0 (IBM Corp) and StatsDirect statistical software version 3 (StatsDirect Ltd). The statistical analyses were performed between August 11, 2020, and September 14, 2021.

Descriptive statistics are presented as absolute frequencies and both median and interquartile range (IQR) and mean and standard deviation (SD), when appropriate. Correlations were analyzed using Pearson’s correlation coefficients (r). Linear regression was used to evaluate the associations between PGA and inflammatory parameters. Differences between groups were analyzed using a t-test or one-way ANOVA, and post-hoc analyzes were performed using Tukey’s honest significant difference test when normally distributed. P values of less than 0.05 in two-tailed tests were considered statistically significant. All data were analyzed using SPSS Statistics Software for Windows version 27 (IBM Corp., Armonk, New York, USA).

Categorical variables are presented as total numbers and percentages, and continuous variables are presented as mean ± standard deviation (SD) or median (range). Univariate analysis was conducted to detect associations between the variables and the primary outcomes of severe complications and mortality. Chi-square or Fisher exact tests were applied to categorical variables, and an independent T-test was applied to continuous variables. Due to the small sample size, we could not conduct an adjusted multivariate analysis. The statistical analysis was performed with IBM SPSS Statistics software for Windows, version 27 (IBM, Armonk, NY, USA, 2020).

A two-way ANOVA was used to analyze the effects of days of ripening and type of cheese and their interaction on all the parameters determined. The differences among cheese samples and the effect of days of ripening were assessed using one-way ANOVA, and the means were compared using Tukey’s post hoc test.
A significance level of p < 0.05 was used for all mean evaluations. Statistical analyses were carried out using the IBM SPSS Statistics software for Windows version 27 (2021; IBM Corp, Armonk, NY, USA). Graphs were produced using the Statistica Software, version 8 (Stasoft Europe, Hamburg, Germany).

Genotype and allele frequencies were estimated by direct counting and the Hardy-Weinberg equilibrium (HWE) probability value was achieved using an exact test. Differences in the genotype distribution between cases and controls were tested using logistic regression, under the additive (AA vs. AG vs. GG) and dominant (AA vs. AG/GG) models, to determine odds ratio (OR), 95% confidence intervals (CI) and p-values. These statistical analyses were performed using the PLINK software v.1.07 (http://pngu.mgh.harvard.edu/purcell/plink/) (Purcell et al. 2007 (link)).
The association of the rs4420638 polymorphism with obesity-related quantitative traits (e.g., weight, height, BMI, BMI Z-score and waist circumference), by comparing genotypes AA against AG + GG, were tested using the nonparametric Mann-Whitney test. These statistical analyses were performed using the IBM SPSS Statistics software for Windows, version 27 (SPSS, Chicago, IL). A statistically significant association or difference was set at 5%.

Statistical comparisons of the mean values were performed by one-way ANOVA, followed by the multiple Duncan’s test (p < 0.05 confidence level) whereas comparisons between two mean values were performed by Independent Samples T-test using the IBM SPSS Statistics for Windows software, Version 27.0 (IBM Corp., Armonk, NY, USA).

We used descriptive statistics to examine the participants’ answers using frequencies and percentages, and independent-samples t-tests were performed to assess the mean ± SD differences between ages in the groups. The N represents the number of individuals. The statistical analysis of the data was carried out using IBM SPSS Statistics for Windows software, Version 27.0 (Armonk, NY: IBM Corp), and graph representations were produced with GraphPad Prism version 8.0.0 for Windows software (La Jolla, USA; RRID: SCR 002798). P < 0.05 values were considered statistically significant.