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Body mass index was no longer significant predictor and was excluded from the models.
Depression was also a major predictor and was almost three times more common in persons with significant fatigue.
The age of the boy at examination is a key predictor and was included as a cubic polynomial to allow for nonlinearity.
In the multivariable Cox model, history of coronary heart disease (present in 28%) was the strongest predictor and was associated with a doubling of risk (see table 2).
One study accounted for the effect of malaria incidence in neighbouring districts, but it was not a significant predictor and was excluded from the final model.
It should be noted however that gender was not a significant univariate predictor and was not included in the multivariate analyses.
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The detection of minimal residual disease is the single most powerful predictor, and is critical in selecting optimal therapy for each patient [1, 4, 6].
The preliminary approximation is called predictor and is given by: (14).
One hundred ninety-two patients (18%) had no positive predictor and were classified as low-risk patients.
In our series the classifier is the most powerful predictor and is independent of clinical and pathological variables.
Each feature is considered as an independent predictor and is given a weight proportional to its estimated precision.
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