But what appears to be a high number may be a function of testing.
Good testing relies on tight and consistent closed-loop control — yet the plant's dynamic behaviour is a function of the test-piece's stiffness, which is probably unknown a priori and which may vary during the test: hence adaptation is required for acceptable performance.
Combining these factors, the demand for testing is a function of the "price" of testing (q), the price of all other goods (p), a resource endowment (y), and random factors representing unmeasured preferences or measurement error.
The number of independent tests is a function of the number of tested SNPs and their correlation (due to the linkage disequilibrium).
The power to detect a mutant signal is a function of the number of test progeny.
Cronbach's alpha is a function of the number of test items and the average intercorrelation among the items.
Another possibility is that triggering a given phenotype is a function of the number of tests being made.
According to Bayesian principles, the post-test likelihood of disease is a function of both the pre-test likelihood of disease, and the diagnostic performance of the test.
The price of testing is a function of the characteristics discussed above, q = f a, e, h, s, c, pt, m, st, pa).
The required sample size in a survey is a function of the expected prevalence, the diagnostic test performance and the required precision.
