Bias: a pitfall for the validity of a study
DOI:
https://doi.org/10.33393/gcnd.2018.583Keywords:
Selection bias, Information bias, Berkson’s bias, Healthy worker effect, Salmon effect, Misclassification bias, Recall biasAbstract
A bias is one of the major concerns in almost all types of epidemiological studies. It is defined as any systematic error in the design, conduct, or analysis of a study that causes an incorrect estimate of an exposure’s effect on the risk of illness. There are several types of bias that can be classified in two main groups: selection bias and information bias. In a selection bias the error is introduced when the study population does not represent the target population. An information bias occurs when an error is introduced during the detection of exposures and/or effects, thus producing a misclassification of exposed/diseased subjects. (Epidemiology_statistics)
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Authors contributing to Giornale di Clinica Nefrologica e Dialisi (GCND) agree to publish their articles under the CC-BY-NC 4.0 license, which allows third parties to re-use the work without permission as long as the work is properly referenced and the use is non-commercial.