Sentence examples for on percentile from inspiring English sources

At this time, there are enough normative data available so that one can decide on a clear, replicable cutoff based on percentile scores such that an agency might decide to offer psychological services to all patients scoring above 80th percentile of depression for example.

The approach based on percentile statistics provides ranked or ordinal indices, which illustrate both spatial and temporal trends of metal accumulation.

Since grades are awarded based on percentile ranks in the class, this reallocates incentives for effort between students with different abilities.

van der Velde G, Mierau D. Effect of exercise on percentile rank aerobic capacity, pain, and self-rated disability in patients with chronic low-back pain: a retrospective chart review.

We tabulated individual cortical current distributions by cytoarchitectonic area of Brodmann, after scaling into negligible, low, moderate and strong local density, based on percentile bands with respect to absolute maximum current.

Thus, given the dependency of this interaction scheme with the initial selection process (OSF), results suggest that the best particular configuration for this percentile-based interaction approach is the case in which the initial static selection is based on percentile as well, i.e., R PP.

Finally, by using an optimization approach based on percentiles, the probability bounds of the response function can be successfully obtained.

The use of monitoring data to develop specifications for individual water bodies is based on percentiles and is fully described in the above guidelines.

Students in the lowest (5th) and highest percentiles (95th and 75th), for most age groups, demonstrated DBP, BMI, and %BF levels potentially problematic for health and future development of chronic disease based on percentiles generated for their peer group.

Furthermore two aggregation methods (i.e. average or principal component regression) and two methods for selecting the best artificial neural network components (based on genetic algorithms or on percentiles of mean square error) are investigated.

Then, the candidate sites are classified into 10 equal groups based on percentiles and assigned with scores running from 1 to 10 corresponding to the lowest to the highest score groups, respectively.