The term ‘bias’ refers to any systematic errors or distortion in the design, execution or analysis of a study that can lead to an incorrect estimate of the effect of the exposureExposureTo glossary in question on the risk of disease/illness in question. Types of bias include selection bias, information bias and confounding. Bias can work in both directions, i. e. under- or overestimation of the true effect and can vary in severity.