Skip to main content
Life Science Dictionary

Selection bias

Epidemiology

Say it: suh-LEK-shun BY-us

Selection bias is an error that arises when the people recruited into, or remaining in, a study differ in systematic ways from the target population.

Definition

What is selection bias?

Selection bias is a systematic error caused by the way participants are recruited, agree to take part or leave a study. If the people studied, or the groups being compared, differ from the target population in ways linked to the exposure or the outcome, the results can overstate or understate the true effect. Unlike random error, it does not shrink as the sample grows.

It takes several familiar forms. Volunteers for health research tend to be healthier and more health-conscious than people who decline, so a study of volunteers may report lower death rates than the general population. Workers usually have lower death rates than nonworkers because very ill people are less able to hold jobs, which is called the healthy worker effect. In a case–control study, choosing controls from hospital patients can distort results if their own illnesses are tied to the exposure. In cohort studies and trials, people lost to follow-up may differ from those who stay, which is called attrition bias.

Selection bias is hard to correct once data are collected, so it is mainly prevented by design: defining a clear source population, choosing cases and controls from it in the same way, randomizing with concealed allocation, keeping follow-up complete and analyzing trial participants according to the group they were randomly assigned.

Word parts

Where does the term “selection bias” come from?

se-
apartLatin se-
-lect-
to choose, gather (seligere: to choose out)Latin legere
bias
slant, oblique lineOld French biais

Practice it

Where you'll meet it

Related

Sources

Checked against

Written for biofideX in plain words, after checking these references:

Last updated

Spotted a mistake? Tell us and we'll correct it.

Keep going

Practice Epidemiology

Free epidemiology quizzes, with an explanation for every answer.

See the Quizzes