Sentence examples for by multivariate analysis included from inspiring English sources
The final decision rule derived by multivariate analysis included eight variables (table 2).
In cohort 2, independent prognostic markers selected by multivariate analysis included grade, M substage and HistologyEMT.
Significant risk factors for postoperative VTE identified by multivariate analysis included gender (female) in both TKA and THA groups and use of a foot pump in the TKA group.
With a median follow-up of 96 months, factors with independent prognostic value for disease-free survival by multivariate analysis included HER-2/neu overexpression with extracapsular extension (P < 0.005), pN category (P < 0.01), presence of lymphovascular invasion (P < 0.005), and ECM (P < 0.001).
Considering the direct link between serum adipokine levels and metabolic disorders such as obesity, type 2 diabetes, insulin resistance, or metabolic syndrome [ 37- 39], our interpretation of serum adipokine levels by multivariate analysis included not only BMI, but also an estimate of insulin resistance by the HOMA-IR index was not considered in previous studies [ 18- 21].
Variables associated with an increased risk of death by multivariate Cox regression analyses are presented in Table 2: those independently associated by multivariate analysis included host-related factors (increasing age, mechanical ventilation at time of candidaemia and management in the ICU for reasons other than multitrauma) and non-receipt of systemic antifungal therapy.
The prognostic value of proliferation markers was compared by multivariate analysis including only the proliferation markers as covariates.
Therefore to justify the comparison with these previous studies, we also assess the independent powerful of proliferative indices by multivariate analysis including previous classic prognostic factors after exclude the stage 4 patients from the analysis.
By multivariate analysis including grading, tumour size and ER immunohistochemical (IHC) status, the decision tree classification was shown to be the only significant independent predictor of DFS (P=0.0065), whereas histological grading (P=0.060), ER status (P=0.107) and tumour size (P=0.235) lost their significance (data not shown).
Multivariate analysis included the significant independent variables at univariate analysis.
