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To determine whether any conventional clinical prognostic factors for metastasis from uveal melanoma retain prognostic significance in multivariate models incorporating gene expression profile (GEP) class of the tumor cells.
miRNAs were shown to be less informative with respect to prognosis when evaluated in multivariate models incorporating information on lymphocytic infiltration.
Biomarkers that are most sensitive to early AD may not be the most optimal for monitoring longitudinal change, and it is likely that multivariate models incorporating cognitive measures, functional variables and biomarker data will be the most fruitful avenues for future research.
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We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors).
Using the aggregate data, the multivariate model incorporating cystatin C emerged as the most precise model, explaining over 76% of renal length variation (R = 0.767) when controlling for height (see Figure S2).
We controlled for confounding by running a multivariate model incorporating all examined lifestyle factors and the number of general practitioner visits in the year before diagnosis (marker for medical attention).
In a multivariate model incorporating SOFA score, age, gender, creatinine and IL-6 concentration, baseline ADMA was the only significant predictor of death (p = 0.04).
As this finding was unexpected, and to avoid missing an important associations between acute injury severity and epilepsy or need for tracheostomy, we ran a further multivariate model incorporating acute injury severity (CRASH composite), tracheostomy at 3 weeks and epilepsy at 3 weeks.
Statistically verified composite fingerprints and multivariate mixing models, incorporating particle size correction factors, were used to estimate the relative contribution of the potential sediment sources.
To further evaluate the clinical significance of ER and PR expression, we built multivariate prognostic models incorporating ER and PR protein expression and standard clinico-pathologic factors.
The authors created multivariate linear models incorporating the IBD-associated polymorphisms and various clinical metadata to predict the abundance of bacterial taxa present in at least 75% of samples.
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