Selection bias

The fact that the effect measured is perverted due to the selection of the study subjects. This means that the association between exposure and disease in the study population differs from the association in the total population. Case-control studies are especially sensitive to selection bias. If subjects are systematically excluded from or included in the case or control group, the comparison of these groups can give biased results. Since cases are often recruited from hospitals, controls are sometimes also selected from the same hospitals. Since hospitalized persons are likely to differ from the general population, this may influence the study results. Therefore, in the study design, special attention should be paid to the selection of controls. Often, several control groups are used to estimate the consequences of the choice of the source population of controls. Other source populations of controls that are used in addition to hospital controls are neighborhood controls (to control for socioeconomic differences between cases and controls) or a random population sample, in order to compare the exposure in the cases with that in the general population.


 


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