sampling bias


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sampling bias

systematic error due to study of a nonrandom sample of a population.

sam·pling bi·as

(sam'pling bī'ăs)
Systematic error due to study of a nonrandom sample of a population.
References in periodicals archive ?
Internet surveys also cannot represent the general population adequately at present, though this is an area where some serious attempts are being made to compensate for the inherent difficulties and sampling bias.
Future trials should incorporate patient-oriented outcomes, treatment expectancy, depressive severity, and harms assessments into their designs; antidepressants should be administered over their full dosage ranges; and larger trials using methods to reduce sampling bias are needed.
These deficits can be detected in a lab or clinical setting using specialised eye-tracking equipment but this is inconvenient for the patient, costly for the NHS and introduces the risk of sampling bias because clinic visits are inevitably intermittent.
Sampling bias was eliminated by analyzing 100 cells in the center of each specular microscope photograph and mean of three readings was analyzed.
First, the sampling bias of the observed orientations was corrected according to the conventional and the modified Terzaghi methods.
If the text within the search engine corpus is itself skewed, you will have a classic case of sampling bias. For example, some scholars have discussed the publication bias, which proposes that journals (indexed by search engines) are more likely to contain articles that disseminate favorable and significant results, rather than unfavorable and insignificant results [19].
Reliability of the measure and sampling bias (only sampling certain documents) should be addressed by the researcher.
(2) This study in particular is at risk for developing sampling bias as a consequence of respondent-driven sampling.
3200, unsound sampling bias leading to over/under sampling of likely voting groups, conflicting survey methods, e.g., direct telephonic contact vs.
"Reported estimates of OSA prevalence vary due to differing definitions of OSA, sampling bias, and year of study publication.
The Minamisoma and Soma results may exhibit sampling bias, since the screening turnout was about 1/3, but should have less bias compared with the results from other regions, such as Koriyama and Iwaki, where participation in the screening was done on a voluntary basis (shown in the last two rows).