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Those predictions were stratified by stepping down through each z-score and, at each threshold, calculating the cumulative accuracy, coverage and sensitivity.
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Given our a priori interest in ethnic differences in diabetes prediction by anthropometric measurements, logistic models were stratified by ethnicity.
Hits and non-hits were stratified independently by prediction values by splitting the data into bin sizes of 0.05 ranging from less than 0.35 up to 0.95.
SAPS II values at ICU admission were stratified into three categories also: lower than 16 (corresponding to a theoretical death prediction less than 2%%); 16 59, and higher than 59 (corresponding to a theoretical death prediction of almost 70%%).
Multivariate analyses were stratified by gender.
Models were stratified by genotype and race.
Patients were stratified by sex.
As a result, predictions can be stratified by the z-score, yielding the accuracy versus coverage receiver-operator curves, shown in Figures 3C and 3D, that remain close to 100% accuracy over a large coverage.
Greater detail is available in Visser et al.[ 26] The main aim of the present study is to determine which prediction-guided treatment strategy is superior in patients with recent-onset arthritis who, on the basis of the Visser Prediction rule, are stratified as having a low, intermediate or high risk of developing persistent arthritis.
17 The QRisk2 score for prediction of CV disease within 10 years was stratified into lower (0 9%), medium (10 19%) and high risk (≥20%).
We devised three prediction models by which our PCT-TC signature identified subgroups of patients that could be stratified by their different survivals.
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