Sentence examples for multivariate risk predictor from inspiring English sources

The Framingham Risk Score was the most influential multivariate risk predictor of developing cardiovascular disease in the future and this algorithm has been most often compared by other studies [ 15, 17, 18, 27].

We developed a multivariate risk predictor, using the weighted linear combination of the 34 miRNA expression values (see Materials and Methods Section and Table SI of Supporting Information), to assign each patient to a high or low risk category (with a cut-off score set at 3.235 during the training of the classifier, which was performed on the training set).

The partial PVE was calculated to indicate relative importance of the individual predictor in the multivariate setting: The combined-PI risk predictor captured 11.3% of the variability compared with 5% captured by tumor size.

However, multivariate analysis demonstrated that the only independent risk predictor for CSS was a tumor size of >4 cm (HR: 1.889, 95% CI 1.324 2.696, P < 0.001, Fig.  1a).

A multivariate Cox model was used to simultaneously assess the combined-PI risk predictor and the traditional clinical and molecular parameters that yielded significant results in the univariate comparison (TP53 mutation status and tumor size).

The combined-PI risk predictor had the most significant effect in the final multivariate model (p = 0.004).

The combined-PI risk predictor was the most significant predictor (p = 0.005; Methods S1) with HR 4.62 (95% CI 1.58 13.55) in a multivariate Cox model containing combined-PI risk, TP53 mutation status (HR = 2.6, 95% CI 0.86 7.78), tumor size and node status, stratified by ER status (See Methods S1 for the AIC stepwise model selection).

This last study concludes that the two noncoding SNPs, rs35391 and rs28777, are in LD with each other and are not significant melanoma risk predictors in a multivariate logistic regression models after adjusting for rs16891982 (p.F374L).

After adjusting for baseline medical therapy and antiarrhythmic therapy during follow-up, multivariate Cox regression analysis identified a left ventricular (LV) end-diastolic diameter ≥70 mm and nonsustained VT on Holter as the only independent arrhythmia risk predictors.

Multivariate predictors of risk of clinical malaria also included infection status, recent antimalarial treatment and Hb levels at the start of the 8 week interval (Tables 3 & 4).

A small set multivariate predictor may have important applications in the early detection of neoplastic transformation in populations at high risk for HCC, such as hereditary haemochromatosis patients [18].