Sentence examples for predictive of the ability of from inspiring English sources

We assessed whether the differential ability to grow on soft substrates exhibited by the rigidity-dependent and –independent cell lines was predictive of the ability of these cells to grow in a soft tissue environment in vivo.

We hypothesized that both student proficiency in English and the scientific competence of academic advisors would be predictive of the ability of students to publish.

Studies have shown a high negative predictive value (100%) of the ability of MRI to predict tumour clearance from the mesorectal fascia, although at the expense of many false positives, leading to a low positive predictive value (PPV) of 50 60%.

The most widely used measure of their effectiveness is predictive validity; the ability of the selection tool to predict medical students' performance in undergraduate assessments.

The negative predictive value of the LAPAQ (the ability of this questionnaire to correctly predict whether PA levels are below the recommended level) is 0.33 (12/36).

Also the improvement of the predictive ability of the model by the ER β expression score was higher among this subgroup.

The robustness of the modeling method was further verified by the demonstration of the predictive ability of the regression model fitted from 1996-2004 data for out-of-fit 2005 data.

The accuracy of the predictive ability of the model is assessed by cross-validation, by means of the root mean square error of cross validation (RMSECV).

The ability of the average of the seven models to predict the excluded samples provided a measure of the predictive ability of each metabolomic profiling model.

This process was performed 5000 times on different random splits of the data to provide a cross-validated estimate of the predictive discriminant ability of the measures (accuracy, kappa) that would likely generalize to new cases [ 62].

The indices obtained from the contingency tables are necessary to perform the analysis of the predictive ability of the model in a semi-distributed way.