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admission rate bias

— When the variables under study are affected by the selection of hospitalized subjects leading to a bias between the exposure and the disease under study.

Full explanation:

The combination of exposure to a risk and occurrence of the disease makes it more likely that an individual will be admitted to hospital. In a case-control study, this means the hospital cases could have higher risk exposures or disease than cases from the population at large. This can affect the estimates of the association between the exposure and the disease.

Admission bias is also known as Berkson’s bias (Berkson 1946). His original work involved a retrospective study examining disease risk factors from a hospital in-patient population. Berkson’s choice of inpatients resulted in a spurious association between the disease and the risk factors under study.

 

Example:

View the full record: Admission rate bias in the Catalogue of Bias.

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