Title of article :
Concepts and Tests for Trend in Recurrent Event Processes
Author/Authors :
Cook, R. J. University of Waterloo - Department of Statistics and Actuarial Science, Canada , Lawless, J. F. University of Waterloo - Department of Statistics and Actuarial Science, Canada
Abstract :
Interest in the presence and nature of trend arises frequently in science, public health, technology, and many other areas. In this article we discuss the notion of trend in the context of recurrent event processes. We discuss different frameworks within which one can investigate trend and consider various ways in which trends may be manifest. Tests for trend are discussed in detail and the utility of intensity-based models is emphasized for characterizing event processes and understanding trends. Simulation studies are conducted to study the effect of heterogeneity in the investigation of trend. Data from a study of hospitalization patterns in patients with affective disorder are analysed for illustration.
Keywords :
Intensity function , recurrent events , robust methods , stochastic modeling , trend.
Journal title :
Journal of the Iranian Statistical Society (JIRSS)
Journal title :
Journal of the Iranian Statistical Society (JIRSS)