Several factors were associated with time-to-healing in bivariable analysis, however in multivariable analysis, only age, ulcer size at baseline and geographic location, predicted time-to-healing (Table 3).
All variables with p-values <0.2 in bivariable analysis were included in the regression analysis.
Variables that were significantly associated with the outcome in bivariable analysis, but not in multivariable analysis were presented together for comparison.
Confounders with P < 0.200 in the bivariable analysis were included in a multiple regression model together with surgical technique.
Identified risk factors for illness and protective factors with a P value < 0.2 in the bivariable analysis were included in a multivariable logistic regression model to assess independent association with illness.
In the initial bivariable analysis, but not in the multivariable analysis, there was an association between seroprevalence and the use of stagnant water, which may have been due to the fact that cats were more likely to have had access to stagnant water than to running water.
In Table 1, we present the results of the bivariable analysis we performed in order to investigate possible associations of the epidemiological characteristics with the presence of TST reactivity.
All variables that were significant in the bivariable analysis (α<0.1) were included in the initial (full) multivariate Cox proportional hazard model.
Covariates identified a priori (i.e., group, age category) and those with a p value <0.10 in bivariable analysis were selected for inclusion in multivariable models.
Potential confounders identified a priori (i.e., age category, prior therapy, second-line regimen) and those with a p value < 0.10 in bivariable analysis were selected for inclusion in multivariable models.
