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Erschienen in:
2017 | OriginalPaper | Buchkapitel
3. Heuristical Introduction of General Biased Sampling with Various Applications
verfasst von : Jing Qin
Erschienen in: Biased Sampling, Over-identified Parameter Problems and Beyond
Verlag: Springer Singapore
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Abstract
When individuals of a population are less likely or more likely to be included than others in a study, then sampling bias occurs. Sampling bias is a systematic error due to the non-random sampling from a population. As a consequence, the sampled subjects are neither equally balanced nor objectively representing the target population. This problem appears naturally in evidence based economic, epidemiological, and medical research in which observational studies are conducted. We call this type of biased sampling “natural selection biased sampling problems”.