Sentence examples for multivariable predictive models from inspiring English sources

Multivariable predictive models have shown increased accuracy over individual risk factors.

In the cardiovascular area, systematic comparisons of neural networks versus standard multivariable predictive models such as multiple logistic function has not been a common practice in either epidemiological [ 28, 29] or clinical [ 21- 27] investigations.

Furthermore, model performances were tested after the addition of both proANP and NT-proBNP (model 4) to the multivariable predictive models and addition of proANP to predictive models with NT-proBNP included.

In an exploratory multivariable predictive model (Table 2), MA use was most strongly associated with use of powder cocaine, MDMA, or intravenous drugs, and being a student in a college or university.

A multivariable predictive model for mortality for children admitted on the weekend was then developed.

There is no consensus on the optimal approach to building a multivariable predictive model [ 27].

The multivariable predictive model of SSI was reliable (Hosmer-Lemeshow statistic, p = 0.62) and accurate (c-index = 0.81).

Table 2 presents the multivariable predictive model which simultaneously uses all 12 risk variables to produce an overall risk score.

Variables displaying p ≤0.15 based on univariate analysis were considered as candidates for inclusion in the multivariable predictive model.

One of the most valuable results of our study is the generation of a multivariable predictive model of poor neurological outcome at the time of hospital discharge.

The AEs and concomitant treatments were individually entered into the best multivariable predictive model of poor neurological outcome to evaluate the associations between each variable and outcome.