title: Statistics: dealing with categorical data.
abstract: This, the fifth of our series of articles on statistics in veterinary medicine, moves onto modelling categorical data, in particular assessing associations between variables. Some of the questions we shall consider are widely discussed in many clinical research publications, and we will use the ideas of hypothesis tests and confidence intervals to answer those questions.
authors.affiliation: School of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QW.
authors.forename: M
authors.initials: M
authors.lastname: Scott
authors.forename: D
authors.initials: D
authors.lastname: Flaherty
authors.forename: J
authors.initials: J
authors.lastname: Currall
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D013223:Statistics as Topic; D014730:Veterinary Medicine / Q000706:statistics & numerical data*