Spss for windows version 18

Statistical analysis was performed using SPSS for Windows version 18 (SPSS; Chicago, IL), GraphPad Prism (GraphPad Software Inc, California), and programs written in Matlab 2015a (Mathworks, Natick, MA). Bland-Altman analysis evaluated the consistency of VASS measurements between right and left breasts. The intraclass correlation coefficient (ICC) measured the reproducibility of VASS estimates comparing values from right and left breasts, with an ICC greater than 0.75 representing good agreement.^{29 (link)} The mean VASS and MR percent water content were calculated for the whole-study group and right and left breast measurements compared using paired t tests. The relationship between VASS and MR percent water content was evaluated using Pearson correlation coefficient. A P value less than 0.05 was taken to indicate a significant difference. All reported P values were 2-sided.

SPSS for Windows Version 18 (SPSS Inc., Chicago,
IL, USA) was used for all statistical analyses. Data are
presented as means ± SEM for continuous variables.
Independent-samples t test was used for comparisons
of couples’ age and sperm parameters between DGC/
Zeta and DGC groups (Table 1). Independent student's
t test and Chi-square carried out for statically analyzing
was used for comparisons of fertilization, good-quality
embryo, pregnancy, implantation, and miscarriage (Table 2). The value of P<0.05 was considered statistically
significant. This clinical trial study was a continuation of
the Nasr-Esfahani group study (15 (link)). To detect the effect
of DGC/Zeta on clinical outcome in male factor infertility
patients following ICSI which is in agreement with the
study of Nasr Esfahani et al. (15 (link)) with a power of 80%,
a sample size of 103 patients per group was necessary,
given an anticipated dropout rate of 10%.

Data analysis was carried out in SPSS for Windows, Version 18. Data were analyzed using descriptive and analytical statistics, including frequency, mean, standard deviations, independent t-test, one-way analysis of variance (ANOVA), and Pearson’s correlation coefficient.

Non-normally distributed data were compared between groups using Kruskall-Wallis test. The Chi square test was used for categorical data. Spearman rho correlation was used to investigate the correlation between uric acid level and variables. Mann-Whitney U test was used to compare the mean serum uric acid level in patients with and without electrocardiographic signs of RV strain. We used Receiver operator characteristic curve (ROC) to estimate the threshold values of serum uric acid to predict severe PH. The area under the ROC curve (AUC) and the corresponding standard error were calculated. The data were analyzed using SPSS for Windows version 18 (Chicago, IL, USA). All reported p-values are two-tailed, and p-values of less than 0.05 were considered statistically significant.

All multiple comparison tests were two-tailed. Direct comparisons between the two treatment groups were performed with the unpaired Student t-test or the nonparametric Mann-Whitney test when the data sets were not normally distributed. P value of 0.05 or less was considered significant. All statistical analyses were performed with SPSS for Windows version 18 (SPSS Inc., Chicago, Ill, USA).

Nutritional data were analyzed using Nutritionist IV software (San Bruno, CA, USA, First Data Bank). Statistical analysis was undertaken using SPSS for Windows (version 18; SPSS Inc., Chicago, IL, USA). Student's independent t-test was employed to compare nutrient intake with DRI values (2012). Association between variables was determined using Pearson Correlation Coefficient. Partial correlation was employed for controlling of daily energy intake. P < 0.05 were considered statistically significant.