Sentence examples for by a multivariate model from inspiring English sources

The variability of SOS was indeed completely explained by a multivariate model including BMD and independent structural parameters (R2 = 0.94).

Eight independent patient-, endoscopist- and endoscopy-related variables were analyzed by a multivariate model to determine their association with CP.

In total, 29% of the patients with positive cytology developed recurrence compared with 10.5% of the cytology-negative patients, and a relation between malignant cytology and poor outcome was demonstrated by a multivariate model.

When all these lncRNAs were evaluated by a multivariate model using enter selection, HULC was indicated to be a positive factor for HCC overall survival (HR = 0.885, 95% CI = 0.797 0.983, and P = 0.023).

Also, risk based stratification may still obscure important modification of relative treatment effect that can be discovered or excluded (as in the Justification for the Use of Statins in Prevention trial example) by a multivariate model for predicting treatment effect based on trial data.

In brief, high- and a low-risk survival groups were defined by a multivariate model based on gene expression levels contained in each gene signature, the Cox regression coefficient for each gene (supervised principal component method) and two covariates as sex and age.This multivariate model was used in a leave-one-out cross validation process to assign risk-group membership for clinical samples.

Crude odds ratios were calculated by bivariate analyses, and then adjusted by estimating a multivariate model.

We then further extended the method of Efron by developing a multivariate model able to handle replicate experiments.

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).

Assuming that one could measure the activation time-series of an arbitrarily large number of potential activation sources symbolized by s(t), a multivariate model built on them would have the form: (3) where P is the model order across time lags, τ is the time lag, B is the model coefficients matrix for lag τ, and ε is the model residual column vector.

The covariables were selected by stepwise algorithm in a multivariate model.