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Table 1 shows for 1 to 5 tests, the maximum number of estimable parameters and the number of parameters to be estimated in the absence or presence of conditional independence as a function of the number of tests per subject.
Another possibility is that triggering a given phenotype is a function of the number of tests being made.
Choice for threshold values b and r is therefore a function of the number of tests m, PWER α p and precision level c.
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The power to detect a mutant signal is a function of the number of test progeny.
The number of independent tests is a function of the number of tested SNPs and their correlation (due to the linkage disequilibrium).
Cronbach's alpha is a function of the number of test items and the average intercorrelation among the items.
To investigate trends as a function of the number of agents tested, we stratified the combinations by the number of agents tested.
Performance of cost function is correlated with the number of tests.
Convergence studies show that this approach is effective for continuous basis functions with p⩾2, where the number of test functions for the divergence control terms is less than the number of degrees of freedom in the expansion for vector fields.
However, after 2005, the number of tests showing impaired function remained stable.
Generally, the number of tests is directly linked with the product of its amount of functions and the degree of freedom of its application conditions.
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