We expect every research study to have some inherent random error because samples
cannot exactly reflect the entire population. However, we hope to avoid bias. Bias
is a systematic deviation from the truth, or systematic error. There are many different
forms of bias because it can occur at any stage of the process from the conceptualization
of the question, to the way the research is conducted, to the way the research is
discussed and presented. Many different forms of bias have been described, and researchers
should be aware of potential sources of bias and try to avoid them during the conduct
of the research and during the publication process.
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Clinicians need to worry about bias in research as it could lead to errors in evidence-based
clinical decision-making.To read this article in full you will need to make a payment
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References
- NIH Public Access.Plast Reconstr Surg. 2011; 126: 619-625https://doi.org/10.1097/PRS.0b013e3181de24bc.Identifying
- Empirical evidence for selective reporting of outcomes in randomized trials.JAMA. 2004; 291: 2457-2465https://doi.org/10.1001/jama.291.20.2457
- Don't Let the Truth Get in the Way of a Good Story: An Illustration of Citation Bias in Epidemiologic Research.Am J Epidemiol. 2014; 180: 446-448
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© 2017 Hanley & Belfus, an imprint of Elsevier Inc. All rights reserved.
