title: The analysis of binary and categorical data from crossover trials.
abstract: A review is presented of methods for the analysis of discrete data from crossover trials. The definition and interpretation of the model for the data is used as a central theme. Distinctions are drawn between different types of model, particularly marginal and subject specific. It is seen how much recent methodology for analysing correlated categorical data can be applied successfully to the crossover setting. The current accessibility of each method is considered and the different approaches are illustrated and compared using two examples.
authors.affiliation: Statistics Department, Rothamsted Experimental Station, BBSRC Institute of Arable Crops Research, Harpenden, Hertfordshire, UK.
authors.forename: M G
authors.initials: MG
authors.lastname: Kenward
authors.forename: B
authors.initials: B
authors.lastname: Jones
mesh_terms: D015982:Bias; D018592:Cross-Over Studies; D003627:Data Interpretation, Statistical; D015233:Models, Statistical; D011336:Probability; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*