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Identifying and avoiding bias in research.

02:07 EDT 23rd May 2013 | BioPortfolio

Summary of "Identifying and avoiding bias in research."


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.

Affiliation

Ann Arbor, Mich. From the Section of Plastic Surgery, Department of Surgery, University of Michigan.

Journal Details

This article was published in the following journal.

Name: Plastic and reconstructive surgery
ISSN: 1529-4242
Pages: 619-25

Links

Medical and Biotech [MESH] Definitions

Publication Bias

The influence of study results on the chances of publication and the tendency of investigators, reviewers, and editors to submit or accept manuscripts for publication based on the direction or strength of the study findings. Publication bias has an impact on the interpretation of clinical trials and meta-analyses. Bias can be minimized by insistence by editors on high-quality research, thorough literature reviews, acknowledgement of conflicts of interest, modification of peer review practices, etc.

Bias (epidemiology)

Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.

Insurance Selection Bias

Adverse of favorable selection bias exhibited by insurers or enrollees resulting in disproportionate enrollment of certain groups of people.

Scientific Integrity Review

Work consisting of reports by the United States Office of Research Integrity, identifying questionable research published in articles or books. Notification of the questionable data is carried in the NIH Guide for Grants and Contracts.

Selection Bias

The introduction of error due to systematic differences in the characteristics between those selected and those not selected for a given study. In sampling bias, error is the result of failure to ensure that all members of the reference population have a known chance of selection in the sample.

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