Stata se 14.2 for mac

Data were analyzed using Stata (Stata/SE 14.2 for Mac; StataCorp, College Station, TX, USA). Descriptive statistics including means, standard deviations, and proportions were calculated. Univariate analysis using chi-square test was used to determine associations between categorical variables with treatment groups. A one-way ANOVA was used to determine the difference among treatment groups and continuous variables. In cases where continuous variables were not normally distributed, Kruskal–Wallis test was used to test for significant differences among treatment groups.
The differences in the likelihood of farrowing were analyzed using a logistic model. Results were expressed as odds ratios (OR). Litter size (total born) was analyzed using a mixed linear model. The effect of treatment and parity (at time of insemination) were tested in each model. In the mixed linear model, batch was modeled as a random effect. Significance was determined at p < 0.05. When p values were between 0.05 to 0.1, they were reported as trends.

Data were entered into Microsoft Excel for Mac 2019 Version 16.25 (Microsoft, Redmond, WA, USA). After cleaning, the data were imported into Stata (Stata/SE 14.2 for Mac; StataCorp, College Station, TX, USA) for further data management and descriptive analysis.