Explore: Selection Bias

Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure

In statistics, self-selection bias arises in any situation in which individuals select themselves into a group, causing a biased sample with nonprobability

type of bias. Sampling bias is usually classified as a subtype of selection bias, sometimes specifically termed sample selection bias, but some classify it

Survivorship bias or survival bias is the logical error of concentrating on entities that passed a selection process while overlooking those that did

may allow faster choice selection when speedier outcomes for a task are more valuable than precision. Other cognitive biases are a "by-product" of human

published academic research, publication bias occurs when the outcome of an experiment or research study biases the decision to publish or otherwise distribute

study than others, biasing the sample. This can also be termed selection effect, sampling bias and Berksonian bias. Spectrum bias arises from evaluating

secretaries predominantly with women and engineers or CEOs with men. Selection bias refers the inherent tendency of large language models to favor certain

(4) selection bias. Academics have not reached a consensus on the underlying cause, with prominent academics continuing to advocate for selection bias, mispricing

cause bias. Examples include bias introduced by the ownership of media, including a concentration of media ownership, the subjective selection of staff