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The likelihood analysis is prone to estimate wide ancestral ranges for early-branching lineages [ 53- 55].
Statistical models assessing the relationship between the lipophilic contaminants PCB-153 or HCB and thyroid parameters were further adjusted for total plasma lipid concentrations because Schisterman et al. (2005) have shown that this approach is less prone to estimate bias compared with lipid standardization.
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The results even suggest that NH1 might be slightly prone to over-estimating the amount of heterogeneity.
Individuals who are prone to under-estimate their symptoms may benefit from training and feedback using peak flow meters in order to improve perceptual accuracy.
Effective risk, which has the potential to be age and gender specific if desired, would perform the same comparative role as effective dose, be just as easy to estimate, be less prone to misuse, be more directly understandable, and would be based on solid science.
However, observational studies to estimate the effectiveness of influenza vaccination are prone to bias [ 29- 33].
Although VA is prone to erroneous estimates of cause-specific mortality rates due to misclassification [34], several studies have demonstrated its ability in valid identification of the most common causes of death in many settings [12], [26], [27], [29], [32], [35], [36].
As shown in one of these studies, 19 such an approach is prone to biased estimates.
However, this method also shows that our method can be prone to noisy estimates, which reduced the power of the analysis.
However, convenience sampling is prone to biased estimates because the samples that are recruited are not representative of the population as a whole.
In general, sample sizes of at least 30 observations are recommended when applying the central limit theorem to the sampling distribution of a mean [8]; when dealing with a variance parameter as target, probably 50 should be the minimum number of paired observations since estimating second moments (like the variance) is more prone to uncertainty than estimating first moments (like the mean).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com