Sentence examples for multivariate predictor model from inspiring English sources

In the multivariate predictor model, age and the presence of an affective disorder were the only significant predictors of rehospitalization.

This was followed by a stepwise logistic regression with backward elimination to identify a multivariate predictor model.

In addition, we would like to point out that the 6-week pain intensity predictor alone had better ability to predict future pain score (R = 0.350 in the test set) compared to the full multivariate predictor model (R = 0.261 in the test set).

The goal in developing the multivariate predictor models was to predict pain outcome for individuals.

The multivariate predictor models used a forward stepwise variable selection procedure with p < .05 required for entry into the model [ 55].

Final selection of multivariate predictors (model 4) was determined with stepwise analysis as a backward-stepping procedure based on a likelihood ratio test with a P value greater than 0.10 used for exclusion from the model.

Results: In the multivariate stepwise model the strongest predictor of ultrasound estimated fetal weight was basal hepatic glucose production, followed by late gestation insulin sensitivity (total R 2 = 0.27).

Figure 2 Kaplan-Meier survival curves by quartile of linear predictor from reduced multivariate Cox model.

In the present study maternal sensitivity neither correlated in a bivariate way with maternal depressive symptoms, nor showed predictive properties as a predictor in the multivariate regression model.

In their study, the QTVI was the only clinical variable that identified patients with a previous incidence of SCD in multivariate regression model, outperforming as predictor of several well-known parameters, such as QT interval spatial dispersion, T-wave alternans, ventricular tachycardia inducibility, signal-averaged ECG, heart rate variability, and left ventricular ejection fraction.

The parameter estimates from the most efficient predictor multivariate models were used to construct subject-specific predictor scores.