Stata 14.2 for windows

Data for this study were analysed using Stata 14.2 for Windows. First, we calculated the distribution of the socio-economic and demographic factors across fertility preferences using percentages (see Table 1). After this, we checked for multicollinearity among the explanatory variables, using the variance inflation factor (VIF) and the results showed no evidence of high collinearity (Mean VIF = 1.72, maximum VIF = 3.47, and minimum VIF = 1.10). Next, we carried out a bivariate logistic regression analysis to examine the independent associations between the socio-economic and demographic variables and desire for more children. The results were presented using crude odds ratios (cOR). Finally, we fitted a multivariable logistic regression model to examine the socio-economic and demographic predictors of desire for more children. The results were presented as adjusted odds ratio (aORs) together with their corresponding 95% confidence intervals signifying level of precision. On the account that the sample was not self-weighting, we applied sample weight in our computations whilst the survey (svy) command was used to cater for the study design.

All clinical and laboratory data were collected in Microsoft Excel (2016) spreadsheets and transferred to Stata 14.2 for Windows (StataCorp, 4905 Lakeway Drive. College Station, Texas 77845) for statistical analysis. The quality of data and distributions were analyzed using tabulations and histograms. Initial analyses included multilevel linear regression modelling of each of the continuous outcome variables; rectal temperature, neutrophil counts, lymphocyte counts, monocyte counts, quantitative PCR of A. phagocytophilum and TBEV titer. Predictors were “Group” (exposure) and “Day” of infection and the random effects variable was “The individual lambs”. The statistical analyses were performed on day 0 to day 21 post inoculation with TBEV and A. phagocytophilum. Residuals were estimated and visualized in quantile plots. p <0.05 was considered significant. Additional, descriptive statistical analyses were performed in Excel and GraphPad Prism version 8.0.0 for Windows (GraphPad Software, San Diego, California USA).