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The unit operated under a closed medical model with patients admitted under the care of intensive care specialist physicians.
For the Duke-based study, our two primary hypotheses will also be tested using a similar hierarchical linear model, with patients nested within clinic.
Similarly, the benefit from CMF was first analyzed in the combined model with patients who received no adjuvant therapy as a reference group (Table 3).
Survival analysis was performed using the Cox proportional hazard model with patients' age, sex, tumour site, Dukes stage, deprivation index and C-reactive protein as prognostic variables.
A multilevel model with patients clustered within surgical teams and NHS Trusts was used to examine associations between LOS and a range of factors.
Survival analysis was performed using the Cox proportional hazard model with patients' age, sex, TNM stage, CD4+ and CD8+ count as prognostic variables.
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A fully specified model had only slightly more explanatory power (C = 0.633) than the model with patient characteristics alone.
The goal of this study is to simulate the specific influence of the prone operative position and anaesthesia using a finite element model with patient personalized material properties.
Thus, the conceptual framework included "information, motivation, and behavioral change" model, with patient engagement as a mediator in the development and assessment of a mobile health application "HeartMapp" for chronic heart failure (CHF) self-management.
The overall R-squared was 0.13 for the multi-level model with patient, provider and practice variables.
The reference geometrical model, with patient-specific geometry published in (Xi et al. 2013), is shown in Fig. 5a.
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