Recurrent events are important in scientific as well as everyday contexts. These are events that may occur repeatedly over time, and which generally carry either a positive or negative connotation. For example, repeated attacks of asthma for an individual, repeated insurance claims for a company, or repeated breakdowns in equipment of systems, have negative implications. The Statistical Analysis of Recurrent Events describes how to model, collect and analyse data on recurrent events, in order to understand them better and improve processes in which they occur. Applications in areas such as cancer treatment, chronic disease and equipment reliability are discussed at length in the book, including details on how to implement analyses using available software.