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The risk estimates generated by different multivariable models warrant comment.
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With the exception of rs12302097, the effect size (HR) and significance of these associations became stronger after adjustment for tumour characteristics in multivariable models.
Table 1 details multivariable models using the principle of backward selection for biomarkers at baseline and when assessed longitudinally using PFS and OS as outcomes.
Using multivariable models for biomarkers predictive of outcome, rising circulating levels of Ang2 were shown to be associated with longer OS.
Multivariable models were used to identify predictors of anemia.
Findings were unchanged in multivariable models controlling for demographic factors.
We developed multivariable models using a difference-in-difference parameterisation.
Multivariable models adjusted for age and illness severity.
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Multivariable models were constructed for length-of-stay and discharge to a higher level of care.
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