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Bias in Prospective Research and How to Avoid it

Stenson, James F., DO*; Kepler, Christopher K., MD, MBA

doi: 10.1097/BSD.0000000000000767
Research Methodology: PDF Only
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Prospective research studies answer clinical questions via randomized control studies or prospective cohort studies. Bias is defined as any deviation from the truth when interpreting data. Broadly speaking, bias is categorized into 3 categories: selection bias, information bias, and confounding bias. Furthermore, misinterpretation of presented statistics in research studies causes acceptance of conclusions which may not necessarily be true. This paper identifies sources of bias in prospective research and instructions to avoid bias.

*Department of Orthopaedic Surgery, Rowan University School of Osteopathic Medicine, Stratford, NJ

Rothman Institute, Thomas Jefferson University, Philadelphia, PA

The authors declare no conflict of interest.

Reprints: James F. Stenson, DO, Department of Orthopaedic Surgery, Rowan University School of Osteopathic Medicine, 1 Medical Center Drive, Stratford, NJ 08084 (e-mail: jfstenson@gmail.com).

Received February 28, 2018

Accepted November 26, 2018

© 2019 by Lippincott Williams & Wilkins, Inc.