Sentence examples for reliability in prediction from inspiring English sources

Ultimately, clinical usefulness of a set of markers will be determined not only by accuracy and reliability in prediction but also by whether that information alters therapy and whether this translates into an improvement in clinical outcomes.

The proposed solutions show good accordance with the experimental results and the numerical predictions, indicating its reliability in predicting the interfacial behavior of FRP-concrete bond.

Model validation and cross-validation criteria suggested that the model has a good predictive capability and spatial reliability in pollution prediction.

The two gene prediction programs and the BLAST searches enabled not only a better prediction of the intron-exon boundaries in the WRKY domain-encoding sequences, but also increased reliability in the prediction of the ATG start codon than many of the short gene models (although an accurate prediction of the start of translation remains difficult in some cases in the absence of reliable EST data).

Thus, adequate consideration about the reliability in the prediction of flow should be incorporated into decision making by water practitioners.

Reaction rate expressions in terms of species activities were developed based on the data obtained in a differential packed-bed reactor, and were subsequently tested for reliability in the prediction of integral packed-bed reactor performance.

Our calculations demonstrate that firm conclusions on the CFD model reliability in the prediction of the segregation dynamics in fluidized beds can be drawn only after careful verification of numerical uncertainties at the operating conditions under investigation.

We adopt the RI to show the level of reliability in the prediction of a submitted sequence.

The loss of reliability in GEBV prediction by using imputed data was around 6.5% and 2.6% with Findhap and Beagle, respectively.

Calibration (see [ 23] for review) between the predicted and actual probabilities using a logistic regression approach (see Methods) showed a maximum difference (Emax) of 0.12 and an average difference (Eavg) of 0.06, indicating reliability in the prediction model (See Additional file 3).

One of the major concerns with the use of QSAR tools for a regulatory purpose is the reliability in their predictions.