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This representativeness bias can also affect our investment decision-making.
Selection bias can also affect the assessment of outcomes.
DIF, or item bias, can also affect fit to the model.
Response bias can also affect the results of studies relying on self-report data.
Bias can also affect the treatment of rare or novel diseases for which there is limited data.
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Ascertainment bias for common alleles can also affect scans for positive selection from polymorphism data, which may mimic the results expected for positive selection or those produced from demographic processes such as inbreeding.
Furthermore, oral problems/symptoms and oral impacts are subjective outcomes and sometimes participants, particularly the elderly, may be unable to recall their experiences fully, while response bias due to social desirability can also affect the quality of the data.
Though less intuitive, selection can also affect synonymous substitutions, manifesting as codon usage bias (the non-random use of synonymous codons) in a wide variety of organisms [ 2- 5].
Subpopulation bias in the composition of the group used to select variable markers can also affect inferences using those markers.
Supply can also affect demand.
Weather can also affect service.
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CEO of Professional Science Editing for Scientists @ prosciediting.com