Systematic error distorting study validity.
In epidemiology, bias is a systematic error in the design, conduct, or analysis of a study that results in a mistaken estimate of an exposure's true effect on the risk of disease. Unlike random error, bias compromises a study's internal validity and cannot be fixed by increasing sample size. The primary categories are selection bias, information bias (such as recall or measurement bias), and confounding.
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