Sentence examples for likelihood prediction from inspiring English sources

Receiver-operating characteristic (ROC) analysis was performed to calculate the area under the curve (AUC) to determine whether the total plaque score provided incremental value in predicting MACE over and above that provided by the pre-test likelihood prediction model according to Morise.

Finally, we demonstrated that coronary plaque score showed superior outcome classification ability when compared with the pre-test likelihood prediction model.

Second, using visually masked point-light displays of tap dancing feet and congruent synchronized sounds, Arrighi, Marini, and Burr [26] demonstrated audiovisual enhancement better than the optimal maximum likelihood prediction.

Putative donor prediction by BLAST, Neighbour Joining or Maximum Likelihood prediction produced essentially the same results.

Recently, multifactorial likelihood prediction methods have been developed to use data from a variety of sources, including histopathological features of tumours, for the clinical evaluation of UVs [ 4].

For all individuals for whom the information about sex was missing the covariate was imputed based on the individual likelihood prediction, i.e. a likelihood prediction greater than or equal to 0.5 was imputed as 'male', otherwise 'female' (NONMEM code in Appendix 1).

A significant drop in OFV when EST was used instead of MOD indicated that the individual likelihood predictions (based on the individuals' weight) used in the mixture model had poor predictability.

We further investigate how much training data is required to obtain usable results, finding that approximately 2000 points are required in the CMSSM to get likelihood predictions to an accuracy of a few per cent.

We present our comparison of multifactorial likelihood predictions of pathogenicity and functional analysis of these BRCA1 variants.

This extension of the error-likelihood model [48], [49] showed that the model can account for individual differences related to error-likelihood, prediction of error consequences, and conflict effects in ACC.

Maximum-likelihood predictions for ACS stocks (bottom-right) are projected within their credibility intervals (areas with higher levels of transparency.