Sentence examples for moderate predictive validity from inspiring English sources

In German-speaking countries, there have been few studies examining the validity of the PCL-R and the PCL SV in predicting re-offending and they confirm, at the least, a moderate predictive validity of the instrument [ 11- 13].

This consistent demonstration of moderate predictive validity by the ASA-PS scale, both in our present study and previous research, supports its use as a component of risk-adjustment models for comparing surgical outcomes across hospitals.

This research has demonstrated that all of the multimorbidity measures had moderate predictive validity in relation to consultation rates in primary care, with the number of prescribed drugs having the greatest predictive validity followed by the three ACG based measures.

Gray, Hill, McGleish, Timmons, MacCulloch, and Snowden, [ 26] studied 34 mentally disordered offenders from a medium-security hospital in the U.K. The total PCL-R score had moderate predictive validity for damage to property and physical violence.

IAT is not actually a lie-detector nor does it reveal something that is more true [ 47], and evidence for the factors moderating the predictive validity of implicit measures is still in its growth phase [ 41].

Although the AIMS was not designed as a predictive tool, it has moderate to excellent predictive validity.

Using the PDUQ as a criterion measure, moderate to good concurrent and predictive validity data for the PDUQp are presented, as well as item-by-item comparison of the two formats.

It has good concurrent and predictive validity and moderate to high test-retest reliability, while demonstrating no apparent floor or ceiling effects[ 27- 29].

For student MMIs, there is evidence of predictive validity through moderate correlations with later clinical assessments such as the Objective Structured Clinical Examination (OSCE) [ 9, 24].

The predictive validity of our moderate to severe Barthel to AQoL algorithm should, however, be adequate for the purposes of evaluating the relative effectiveness and cost-effectiveness of stroke interventions in patients with moderate to severe stroke severity.

Predictive validity of HARP was moderate as reported by the area under the (receiver operator characteristic) curve (AUC; 0.65).