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Receiver operating characteristic (ROC) curves were used to discriminate between the predictive abilities, exploring trade-offs between sensitivity and specificity.
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If a small amount of loci had a large effect on a trait, great differences were found between the predictive ability of various methods and BayesCπ was recommended.
Although there was almost no significant difference between the predictive ability of BayesCπ and BayesB, BayesCπ is more feasible than BayesB for real data analysis.
If a trait was controlled by an extreme number of minor genes, almost no significant differences were detected between the predictive ability of various methods, but RR-BLUP slightly outperformed the others in both simulated scenarios and real data analysis, thus demonstrating its robustness and indicating that it was quite effective in this case.
Nevertheless, there remains a small difference between the predictive ability of ICD-9 and ICD-10 models.
We examined the relation between the predictive ability of rare variants and their frequency, strength of effect (OR), and the predictive ability of the baseline risk model.
In particular, REMS appears to provide an effective balance between the predictive ability and the practical application which are necessary for the trauma setting.
The predictive abilities of the eight models are also evaluated by the pairwise between center predictions.
Pearson correlations and hierarchical logistic regression were used to test the relationships between variables and the predictive ability of variables for newborn preterm birth and low birthweight.
Among others, marker and QTL alleles will recombine, and their frequencies will shift, changing linkage disequilibrium (LD) between them and therefore the predictive ability of the markers.
This makes it difficult to compare the predictive ability between different risk scores and between validation populations.
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