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Crossover experiments
Author(s) -
Johnson Dallas E.
Publication year - 2010
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.109
Subject(s) - crossover , crossover study , worry , residual , statistics , statistical analysis , computer science , mathematics , psychology , algorithm , artificial intelligence , medicine , anxiety , alternative medicine , pathology , psychiatry , placebo
Crossover designs and within‐subject designs are designs where each experimental unit receives a series of treatments over time. Because treatments are assigned at different time points, one must worry about whether there is carryover or residual effects from a treatment given in a previous period to a subsequent period. This article introduces crossover designs and discusses the statistical analysis of crossover designs. When one has more than two periods and/or more than three treatments, then special designs can be obtained where one can measure a direct comparison between the treatments even if carryover effects exist. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: Statistical Models > Linear Models