Multiple Temporal Cluster Detection

Abstract

This article proposes a simple method to determine single or multiple temporal clustering on a variable size population. By a transformation of the data set, the method based on a regression model allows consideration of a variable population size during the time of study. A model selection procedure and a resampling method are used to select the number of clusters. The results have applications in epidemiological studies of rare diseases.