Sentence examples for predictions constructed from from inspiring English sources

We summarize various predictions constructed from covariates, including multiply imputed covariates, and either the set of imputation-specific prediction model coefficients or the pooled prediction model coefficients.

In addition, the impact on model performance measures from using predictions constructed from imputed covariates that have been partly derived from the observed outcome requires consideration.

However, since model performance measures are defined as functions of the observed outcomes and predictions, we hypothesize that such measures may be optimistic when the predictions are constructed from a set of imputed covariates partly derived from the observed outcomes.

In terms of prediction performance, the prediction model constructed from the synthesized coefficients showed slight improvements over the conventional approach, particularly in BS.

We have shown that a test of a new marker in a prediction regression model and a test of prediction accuracy constructed from a comparison of ROC AUCs are designed to test the same conceptual null hypothesis, the hypothesis that the new marker possesses no incremental predictive information.

Prediction-corrected visual predictive checks (pcVPCs) were generated to compare observed data with 90%% prediction intervals constructed from 100 simulated subsets of the original dataset [ 24].

We investigated the potential for predicting an individual's risk of developing epilepsy using a linear prediction model constructed from common SNPs.

Permutation method which is used in this procedure is a commonly used method to address the problem of overfitting during cross-validation while evaluating the performance of prediction models constructed from microarray data.

This group was used to test the applicability of the prediction model constructed from the original study.

For prediction models constructed from common SNPs, h L 2 represents an upper bound on r L 2 ; how close performance will be to this upper bound in practice will depend on how accurately the effect sizes can be estimated, which in turn depends on the available sample size, the genetic architecture of the trait, and the performance of the estimation method used.

The model was then used for sensor design, which led to the prediction that sensors constructed from ∼12 μm microspheres having an effective porosity between 0.005 and 0.01 and ∼65 nm transport-limiting coatings would respond over the entire physiological glucose range (up to 600 mg/dL) with maximized sensitivity.