2.6 Data management and statistical analysis
Data were managed in Microsoft Excel 2007 version spreadsheets
(Microsoft Corporation, Redmond, WA, USA). Analytic and descriptive
statistics were used for data analysis in Epi Info 7 version 10.
Associations between the drivers for antimicrobial misuse in farms and
outcome responses were first subjected to univariable analysis using
Chi-square tests (Dohoo et al., 2009). Factors found to be significant
statistically at this stage were then fitted to likelihood stepwise
backward multivariable logistic regression models to control for
confounders and test for effect modifiers. The Goodness of Fit of the
final model was assessed with Hosmer and Lemeshow test and found to be
good. In all analyses, p<0.05 was considered statistically
significant. Frequencies and proportions were the outputs of this
study’s descriptive analysis. Relationships of both occupational
farmers’ response proportions on practices and risk pathways were
determined by Pearson’s Chi-square test or Fischer’s exact test, as
appropriate.