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Predictors of death found in both multivariate regression models (Cox and Fine & Gray) included acute congestive heart failure, age, any walking impairment and Hb <10 g/dL.
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This was significant in both univariate and multivariate regression models (Table 2).
In order to assess the unadjusted and adjusted association, both univariate and multivariate regression models were estimated.
Hazard ratio (HR) was calculated for miR-145, Gleason score, clinical stage, serum PSA levels, patient's age and DRE, using both univariate and multivariate regression models.
Both univariate and multivariate regression models with E2F4 iRASs alone, or E2F4 iRASs plus confounding variables (ER status, tumor size, grade, patient age, and so on), respectively, were investigated.
Both univariate and multivariate regression models will be constructed for the association between these variables, with post winter to summer A1C difference as the dependent variable, and winter to spring/early summer difference in steps/day, as recorded by pedometer, as the independent variable.
This trend was seen in both the univariate and multivariate regression models (Table 2).
The main aims of the study were 1) to compare circulating levels of these immune mediators between both groups, 2) to use multivariate regression models to identify potential confounders of these associations, and 3) to investigate whether systemic immune activation was associated with the severity of the foot ulcer.
Including current smoking habit in the multivariate regression models (for both UAER and diabetic retinopathy as outcomes) did not materially change the results.
Multivariate regression models examined reported lifetime NSSI.
These models range from simple polynomial to nonlinear and multivariate regression models (Kublin et al. 2008).
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