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There was a slight decrease in predictive power as the phylogenies were increasingly 'unresolved' and this was the most severe in the smaller phylogenies.
This notion seems to be substantiated by the fact that the decrease in predictive power was less (in the case of VL) or none (in the case of CD4+ T-cell count) for predictions based on the combination of applied drugs, which were independent of the genotype.
In particular, using the 4D sites as a control, only 16.1% of all 12mers in the 2D dataset can be identified as constrained, almost a 3-fold decrease in predictive power compared to the 42.9% called by the π-based method.
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The dynamics among the predictive powers of individual influences, however, varies widely, with some increasing in predictive power and others decreasing.
However, the improvement in predictive power is unbalanced.
To judge the difference in predictive power between two distinct predictor sets, confidence intervals for the predictive power of optimized models are estimated using jackknife resampling.
Both of them showed increase in predictive power and reduce in false positives.
Hence the persistent effect of HbA1c had a strong influence on the difference in predictive power.
Both models show limitations in predictive power [ 26].
This approach resulted in final models containing fewer covariates with a minor loss in predictive power.
The difference in predictive power is potentially due to the approach taken in discovering these signatures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com