Crossover and Repeated Measures Designs

• Published in: Design and Analysis of Experiments with SAS pp. 361 - 394
• Main Author: Lawson, John
• Format: Book Chapter
• Language: English
• Published: United Kingdom Chapman and Hall/CRC 2010; CRC Press LLC
• Subjects: BIOLOGY, LIFE SCIENCES; MATHEMATICS; Probability & statistics; SAS Proc Glm; CODs; Carryover Effects; Subplot Factors; Subplot Effects; Repeated Measures; SAS Data Step; Sphericity Test; Split Plot Model; Direct Treatment Effects; Split Plot Experiments; LSD; Crossover Design; Cow Variation; ANOVA Table; Sub-plot Factors; Sequence Group; Latin Square; Proc Glm Data; SAS Command; SAS Proc; SAS Code; Repeated Measures Designs; Simple AB; RCB Design
• ISBN: 1420060600; 9781420060607
• DOI: 10.1201/9781439882740-13

Crossover and repeated measures designs are usually used in situations where runs are blocked by human subjects or large animals. The purpose of crossover designs (COD) is to increase the precision of treatment comparisons by comparing them within each subject or animal. In a crossover design, each subject or animal will receive all treatments in a different sequence, but the primary aim is to compare the effects of the treatments and not the sequences. Crossover designs are used frequently in pharmaceutical research, sensory evaluation of food products, animal feeding trials, and psychological research.