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Sampling bias

In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others. It results in a biased sample of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have been selected. If this is not…

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Overview

Distinction from selection bias

Types

Problems due to sampling bias

Historical examples

Statistical corrections for a biased sample

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Map overview Semantic statistics

Sampling bias

Nodes70
Edges69
Triples18
Avg. degree1.97
Density0.028571
Components1

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Sampling bias

Top relations

related to Problems due to sampling bias · 11
Sampling bias → Also, An, Because, If, In, Indeed, Sampling, See Demarcation Problem, Some, The, While
related to Distinction from selection bias · 3
Sampling bias → However, In, Sampling
is a · 1
Sampling bias → bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others

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Important terminology

bias sample sampling selection population example study biased likely results selected individuals certain families used survey use characteristic sometimes truncate

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Sampling biasis abias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others0.90text
cholecystitisinstance ofa hospital patient without diabetes is more likely to have another given disease0.80text
since they must have had some reason to enter the hospital in the first place.Overmatchinginstance ofa hospital patient without diabetes is more likely to have another given disease0.80text
matching for an apparent confounder that actually is a result of the exposureinstance ofa hospital patient without diabetes is more likely to have another given disease0.80text
Sampling biasrelated to Distinction from selection biasSampling0.60section
Sampling biasrelated to Distinction from selection biasIn0.60section
Sampling biasrelated to Distinction from selection biasHowever0.60section
Sampling biasrelated to Problems due to sampling biasSampling0.60section
Sampling biasrelated to Problems due to sampling biasIf0.60section
Sampling biasrelated to Problems due to sampling biasAlso0.60section
Sampling biasrelated to Problems due to sampling biasThe0.60section
Sampling biasrelated to Problems due to sampling biasIndeed0.60section

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