Identifying and Avoiding Bias in Research

By C. Pannucci, E. Wilkins. 2010

1,012 citations recorded by the source corpus.

Summary: This narrative review provides an overview on the topic of bias as part of a series of articles in Plastic and Reconstructive Surgery on evidence-based medicine. Bias can occur in the planning, data collection, analysis, and publication phases of research. Understanding research bias allows readers to critically and independently review the scientific literature and avoid treatments that are suboptimal or potentially harmful. A thorough understanding of bias and how it affects study results is essential for the practice of evidence-based medicine.

Subfields: Cardiology and Cardiovascular Medicine, Gender Studies, Statistics and Probability

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In Statistics and Probability

1. K. Gibson-Corley
2. A. Olivier
3. D. Meyerholz

Citations in the corpus

• Principles for valid histopathologic scoring in research (2013, background): “Bias can be introduced into any stage of the experimental project.(49,63) ‘‘Masking’’ (aka blinding) of the pathologist to experimental groups/treatments is a means of preventing bias from entering into the examination and scoring of tissues.”