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The taxonomic accuracy depends of the species number per area, as errors are compensated by increasing sample size.
In practice, some caution is needed to avoid a false positive rate for detecting imprinting and maternal-zygotic interaction effects by increasing sample sizes and/or heritabilities.
While increasing sample size can increase statistical power and decrease error rates, with too many samples, valuable resources are not used efficiently.
While random error decreases with increasing sample size, uncertainty about sources of systematic error remains.
With increasing sample size, the relative standard errors and bias in the estimates are improved.
Mathematically speaking, the rate by which the per-sample f1, A decreases precisely offsets the favorable rate of increasing sample size, whereby P v does not asymptotically vanish.
Importantly, while random error decreases with increasing sample size, uncertainty about biases remains [ 2, 6, 7].
The effects of random error are reduced with increasing sample size [ 9].
Under these conditions, the mean nucleotide-read error rate estimate was inflated in small samples and converged slowly to the true value of 0.01 with increasing sample size.
As expected for each design alternative standard errors decrease with increasing sample sizes.
Thus, the discrepancy between the observed Type I error rate and the nominal α was even more pronounced than for Strategy I and increased again with growing preliminary α pre and increasing sample size.
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CEO of Professional Science Editing for Scientists @ prosciediting.com