Bias is a form of systematic error that can affect scientific investigations and distort the measurement process. A biased study loses validity in relation to the degree of the bias. While some study designs are more prone to bias, its presence is universal. It is difficult or even impossible to completely eliminate bias. In the process of attempting to do so, new bias may be introduced or a study may be rendered less generalizable. Therefore, the goals are to minimize bias and for both investigators and readers to comprehend its residual effects, limiting misinterpretation and misuse of data. Numerous forms of bias have been described, and the terminology can be confusing, overlapping, and specific to a medical specialty. Much of the terminology is drawn from the epidemiology literature and may not be common parlance for radiologists. In this review, various types of bias are discussed, with emphasis on the radiology literature, and common study designs in which bias occurs are presented.
Copyright RSNA, 2006.