title: Type I, Type II, and Occasionally Type III: How Can We Go Wrong?
abstract: An important part of planning a study is deciding what risk of drawing incorrect conclusions is acceptable. Type I error occurs when a study draws a false-positive conclusion. A false negative, not appreciating a difference when one exists, is known as type II error. This article reviews the difference between the 2 common types of error and discusses conventions used to set acceptable error levels.
authors.affiliation: Department of Orthopedic Research, Rothman Institute, Philadelphia, PA.
authors.forename: Mitchell
authors.initials: M
authors.lastname: Maltenfort
mesh_terms: D003627:Data Interpretation, Statistical; D005188:False Negative Reactions; D005189:False Positive Reactions; D006801:Humans; D012107:Research Design