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These figures can be interpreted as the positive and negative predictive values of the model, and denote a moderate ability to predict CD and an excellent ability to rule it out.
Furthermore, positive and negative predictive values of the model, with regard to an early onset of breast cancer in the women under study, were calculated.
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Following model construction, cross validation of the data is employed to confirm the predictive value of the model.
Integration of the model with data from uncored wells shows that spatial variability may in some areas occur on distances smaller than current core-spacing (450 m), diminishing the geometric predictive value of the model in these areas.
Prediction of the level of tracer metabolites in the brain is not straightforward; however, it appears to not deteriorate the predictive value of the model, which is consistent with metabolites generally having more hydrogen bond acceptors and therefore increased probability of being effluxed at the blood-brain barrier.
The analysis may not be necessarily limited to psychological parameters and other potentially useful variables could be tested to improve the predictive value of the model.
Stepwise multiple regression analysis to predict VO2max from LogEEPAwalking, LogEEPAmoderate, LogEEPAvigorous, LogEEPAtotal, age and percentage of body fat (%fat), indicated that the %fat explained 62% of the variance in VO2max and the age another 10%, while the other variables did not improve the predictive value of the model.
Seven protein variables accounted for the majority of the predictive value of the model.
The negative predictive value of the model scores varied from nearly 100%to94%4%.
This cut-off was chosen as clinically relevant with the priority to increase the negative predictive value of the model.
The cut-off for 'Low risk' was chosen to maximise the negative predictive value of the model.
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