All multivariate analyses were, therefore, adjusted for age and health board area.
The impact of these markers on clinical outcome in multivariate analyses would therefore be negligible.
Due to sample size considerations, we had to limit the number of independent variables; our multivariate analyses might therefore have missed relevant confounders.
As a result, patients could not be grouped into clinically meaningful clusters by multivariate analyses and therefore no validation against patients' final diagnoses was possible.
Therefore, this was included in the multivariate analyses and, consequently, T-stage and differentiation were not included in the multivariate analyses (prostate-specific antigen was not included in either uni- or multivariate analyses).
Therefore, multivariate analyses adjusted for variables that may influence the association between schizophrenia and each outcome (Table 3).
Therefore, multivariate analyses for confounding factors such as histological subtypes, gender and smoking status were not performed.
Therefore, no multivariate analyses were calculated.
'GDP' was deemed redundant and therefore excluded from multivariate analyses.
We therefore also performed multivariate analyses within tertiles of the mammographic nondense area.
