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Multiple regression analysis, focused on multivariable factors, was employed and a reduced cubic model was developed.
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A multivariable analysis for prognostic factors was also performed in the present study.
Due to the small group size a multivariable analysis of risk factors was not reasonable and was therefore omitted.
Multivariable analysis of prognostic factors was conducted by Cox proportional hazards model; P<0.05 was considered statistically significant.
However, multivariable analysis of these factors was not performed, and other known predictors of BLL were not examined or controlled for.
Secondly, a multivariable model with all independent factors was used to study the adjusted associations.
Multivariable analysis, adjusted for confounding factors, was used to determine the hazard ratio (HR) for death.
The relationship between TBDs seroprevalence and the risk factors was assessed by multivariable analysis using standard logistic regression models and mixed models using the farm as a random effect.
The influence of potential confounding factors was examined through multivariable regressions.
The independence of PROK1 and PROK2 mRNA content as prognostic factors was studied in a Cox multivariable model together with factors that were significantly associated with survival in a univariable survival analysis.
For the multivariable analysis, prognostic factors were selected based on their statistical significance at univariate analysis.
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