review Open AccessTop 10% cited
Identifying and Avoiding Bias in Research
Plastic & Reconstructive Surgery · 2010 · Vol. 126(2) · pp. 619–625
Christopher J. Pannucci✉(Ann Arbor Center for Independent Living)Edwin G. Wilkins(Ann Arbor Center for Independent Living)
Abstract
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.
Meta-analysis and systematic reviewsCardiac, Anesthesia and Surgical OutcomesDiversity and Career in MedicinePublication biasPsychologyData collectionData scienceReporting biasScientific literatureMEDLINEComputer scienceSociologyPolitical science
MeSH terms
Clinical Trials as TopicFemaleHumansMaleSurgery, PlasticUnited StatesBiasPublication BiasEvidence-Based MedicinePlastic Surgery ProceduresBiomedical Research
Citations
1,052
FWCI
5.68
field-weighted impact
References
44
Percentile
97%
vs. same field & year
Citations per year
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Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias
PLoS ONE · 2008 · 1,535 citations
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