RT Book, Section A1 Furukawa, Toshi A. A1 Guyatt, Gordon A2 Guyatt, Gordon A2 Rennie, Drummond A2 Meade, Maureen O. A2 Cook, Deborah J. SR Print(0) ID 1183875916 T1 An Illustration of Bias and Random Error T2 Users' Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice, 3rd ed YR 2015 FD 2015 PB McGraw-Hill Education PP New York, NY SN 978-0-07-179071-0 LK jamaevidence.mhmedical.com/content.aspx?aid=1183875916 RD 2024/03/28 AB 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 or reduces its risk of bias, students often respond, “large sample size.” Small sample size does not produce bias, but it can increase the likelihood of a misleading result through random error.