The Statistical Analysis of Recurrent Events
Richard J. Cook and Jerald F. Lawless
Universtiy of Waterloo
Recurrent event data arise in fields such as medicine and public health, business and industry, reliability,
the social sciences, and insurance.
The literature on the statistical analysis of recurrent events has grown rapidly over the past twenty years and a
variety of models and methods has been developed.
This book provides a comprehensive treatment of the area.
We describe important models, explain their underlying assumptions and properties, consider settings where they are
and discuss in detail how to fit and base inferences on these models.
Parametric, nonparametric, and semiparametric methods are covered.
Many illustrative examples are given, most of which are taken from health or industrial settings.