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This is similar to the prediction achieved by complex multigene PCR-based assay systems (Paik et al, 2004).
Based on the expression pattern of identified 37 genes, the prediction achieved corresponded to a false positive rate of 0.12 and false negative rate of 0.26.
The results of both these regression analyses are consistent: the martial arts variable (represented by the set of three dummy variables) is not statistically significant and does not improve the prediction achieved by time one behavior alone.
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The residuals obtained by comparing observed versus predicted values (i.e., the predictions achieved by the system models) are normalized subject to the uncertainty of the models and are supervised by an incrementally adaptive statistical tolerance band.
Further the predictions achieve quantitative agreement with experimental data from several studies across a wide range of average nanograin sizes.
The comparison of pre-test and post test probabilities in our patients was used as a measure of improvement in the diagnostic prediction achieved by the use of the lymphocyte test.
We noted that predictive ability delivered by all markers was close to the best prediction achieved by the individual genomic regions.
Our overall results on the test data for the 4 7 weeks in the future prediction achieved a PPV of 0.686, a NPV of 0.976, a sensitivity of 0.615, and a specificity of 0.982 and can be seen on Figure 16.
We also noted that predictive ability delivered by the whole battery of markers was close to the best prediction achieved by one of the genomic regions.
The relative utility is the fraction of the expected utility of perfect prediction achieved at the optimal cutoff point for a risk prediction model.
The level of prediction achieved using just two biological traits was 0.79 for naturalized, 0.75 for weeds, and 0.82 for noxious.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com