title: A visualization of cross-over data using linear functions.
abstract: Previous work has shown that cross-over trial data can be analysed using within-subject linear functions. Scores that result from linear functions are graphed in quantile comparison plots in order to visualize the differences between factor levels. An example suggests how this visualization can be used to identify outliers or to provide a more specific interpretation of results. Additional examples indicate how this approach can be used to track carry-over differences or interaction effects. This article is a US Government work and is in the public domain in the United States.
authors.affiliation: National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV 26505-2888, USA. wem0@cdc.gov
authors.forename: W E
authors.initials: WE
authors.lastname: Miller
mesh_terms: D000818:Animals; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D002985:Clinical Protocols; D018592:Cross-Over Studies; D006801:Humans; D006973:Hypertension / Q000628:therapy; D007328:Insulin / Q000494:pharmacology / Q000627:therapeutic use; D016014:Linear Models; D011817:Rabbits; D013902:Radiography, Thoracic / Q000145:classification / Q000706:statistics & numerical data
chemical_list: D001786:Blood Glucose; D007328:Insulin