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Guyatt G, Rennie D, Meade MO, Cook DJ
Part B Therapy
Chapter 9.1. An Illustration of Bias and Random Error
Gordon Guyatt, Toshi Furukawa
An Illustration of Bias and Random Error: Introduction


Topics Discussed: bias (conflict of interest), bias, epidemiologic, conduct considerations, meta-analyses, random error

Excerpt: "As is true of any area of intellectual endeavor, students of evidence-based medicine face challenges both in understanding concepts and in becoming familiar with technical language. When asked to say what makes a study valid, students often respond, "large sample size." Small sample size does not produce bias (and, thus, compromised validity), but it can increase the likelihood of a misleading result through random error. You may find the following exercise helpful in clarifying notions of bias—systematic error or deviation from the truth—vs random error...."
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