Sentence examples for upper range of scores from inspiring English sources
The incremental risk scores of CHADS2, Rietbrock, and CHA2DS2-VASc failed to show an increase in risk at the upper range of scores (table 4).
The incremental risk scores of CHADS2, Rietbrock modified CHADS2, and CHA2DS2-VASc (CHA2DS2-Vascular disease, Age 65-74 years, Sex) failed to show an increase in risk at the upper range of scores.
Justice Kennedy speculates that "race is likely outcome determinative for many members of minority groups" who do not fall within the upper range of L.S.A.T. scores and grades.
Our mean baseline score of 60 is in the upper range of general population mean scores from various European countries (52 to 68) [ 73– 76] and a group of undergraduate Australian students (mean = 52) [ 77].
Those who have scores in the upper range of intellectual disability, roughly 53 to 70, comprise the majority of intellectually disabled persons; they are able to learn academic and prevocational skills with some special training.
In the context of our study, low performing students were challenged by inconsistent information regarding their clinical skills: While the OSCE differentiates between different performance levels, in WBA, practically all students receive scores in the upper range of the scale.
Animals that scored in the upper range of the histopathological arthritis index also achieved maximum values in PET analysis.
In 2006 Lehman Brothers sold a $1.2 billion subprime loan portfolio in which the borrowers had an average FICO score of 631, within the upper range of subprime borrowers.
The model was evaluated using statistical mean force potential and found to have a Z-score of -6.5, in the upper range of good model for this length [ 57], strengthening the assignment of the Ubq fold.
the LNG-IUS and endometrial ablation group, the estimated scores in both treatment groups will be far below the upper range of normal menstrual blood loss.
The calibration of the GRACE risk score model deviated from that of the other two logistic regression models in the upper range of predicted risk.
