Sentence examples for predictions using logistic from inspiring English sources

The subjective predictions were compared with SAPS II predictions using logistic regression analysis and receiver operating characteristic curve (ROC) measurement, as well as sensitivity and specificity analysis for each group of participants.

Ernst (2008) analyzes a set of features to derive informative priors for TFBS prediction, using logistic regression-based classifiers for the choice of each feature.

In neonatology, several studies have developed clinical prediction models, using logistic regression or consensus, to predict which preterm born infants are most likely to develop BPD [ 12- 14].

This paper summarises the development of prediction equations using logistic regression techniques, based upon exploratory analyses of factors, including cultural influences, as well as empirical results from two motion simulator experiments, with the aims of predicting the possible behaviour of building occupants.

We created four prediction models using logistic regression.

‡Predicted prevalence in new practice with 95% prediction intervals using logistic regression model.

Metabolites with a FDR <10% for both EO-PE and LO-PE women were selected for fitting PE prediction models, using logistic regression.

We developed prediction models using logistic regression on data from 1,191 patients with MODY (n = 594), type 1 diabetes (n = 278) and type 2 diabetes (n = 319).

Others have developed prediction models using logistic regression [ 6], optimal ROC curves [ 10], Bayesian networks [ 11] and support vector machines [ 12], using diverse criteria to evaluate performance in terms of, for example, discrimination, calibration and reclassification [ 13].

‡Predicted prevalence in new practice with 95% prediction intervals using logistic regression model; ACEI=angiotensin converting enzyme inhibitor; U+E=urea and electrolyte monitoring; FBC=full blood count; INR=international normalised ratio; TFT=thyroid function test; LFT=liver function test.

The ability of the prediction tool, developed using logistic regression modelling, to predict claim destination will be assessed against prespecified performance criteria, as per the approach described by Wolfe et al. 26 This analysis will also provide feedback on the delivery format and administration of the tool.