Sentence examples for model comprising variables from inspiring English sources

Variables that were significant at p < 0.25 were included in the initial multivariate analysis [ 24] with the final model comprising variables that were significant at p < 0.05.

We determined the best generalised linear model, that is, the model comprising variables that were both readily available and independently associated with early death (Table 3).

The additional value of the biomarker to a reference model (comprising variables other than the biomarker identified with P <0.1 on univariate analysis) to predict mortality or dialysis was further assessed by the integrated discrimination improvement (IDI) and risk assessment plots [ 16- 18].

The proposed model comprising demographic variables, design features, and acceptance-related variables could explain 76.5% of the variance in the usage behavior of smartphones.

For each iteration of the outer 10-fold cross-validation we used the outer training set to train: a reduced Cox model consisting of the expected model size number of variables with the largest variable stability score; and a full Cox model comprising all variables.

They were included in a multiple model, from which the variables with P values of 0.05 or higher were excluded stepwise to yield a model comprising only variables with P values < 0.05.

They were included in a multiple model, from which the variables with p-values of.05 or higher were excluded step-wise to yield a model comprising only variables with p-values <.05.

Other markers are incorporated alongside them, with the complete model comprising 180 variables generated from diagnoses and 65 from prescriptions.

In other words for both outcome measures evidence was substantially larger for the model of both entropy and surprise compared to either entropy or surprise alone, a conventional (ANOVA) model comprising indicator variables identifying trial type, a model without forgetting, or a model with near maximal forgetting.

A model of 45 risk factors was refined on repeated regression analyses to develop a model comprising six variables: American Society of Anesthesiologists Physical Status (ASA-PS) grade, urgency of surgery (expedited, urgent, immediate), high-risk surgical specialty (gastrointestinal, thoracic, vascular), surgical severity (from minor to complex major), cancer and age 65 years or over.

The multivariate model comprises the variables herd size, and production type.