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The first part presents multivariate analysis relating to the assessment of the primary end point.
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Figure 2 illustrates the two different curves of the hazard rate by age drawn from the coefficients of the multivariate analysis related to either overall or relative survival.
Multivariate regression analysis relating peptide sequence to measured signals led to the definition of amino acid-associated weights.
The other doctor characteristics assessed during multivariate analysis were related to one treatment decision (table 4).
A logistic and/or linear regression model will be used for multivariate analysis to relate an outcome variable to causal variables.
However, the small number of events precluded the introduction of more parameters in multivariate analysis and relates to the absence of prognostic significance assigned to ZAP-70 expression.
In multivariate analysis, factors related to relapse were younger age, advanced stage at diagnosis, absence of hormonal and of trastuzumab therapy.
Spearman Rank Correlation coefficient was used to find whether the parameters that were found to be statistically significant in multivariate analysis, were related to each other.
The excess cardiac mortality among PCI-CLI paccordingaccording to multivariate analysis, was related to age, dialysis, severe left ventricular systolic dysfunction, and incomplete coronary revascularization (all factors associated with CLI) and not to CLI itself.
In multivariate analysis, factors related to posting vs non-posting included paediatric study populations, completion of the study in 2008 (the first year that FDAAA came into effect) and studies beyond Phase II (table 5).
Independent risk factors identified in the multivariate analysis were: related donor, unrelated donor, Gram-negative infection, DHL ≥390 (UI/l), urea ≥25 (mg/dl) and CRP ≥120 (mg/l).
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