title: 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.
authors: Laboratoire de Biostatistique, Institut Universitaire de Recherche Clinique, Montpellier, France. molinari@helios.ensam.inra.fr
authors: N
authors: N
authors: Molinari
authors: C
authors: C
authors: Bonaldi
authors: J P
authors: JP
authors: Daurès
mesh_terms: D016000:Cluster Analysis; D004812:Epidemiologic Methods; D006469:Hemoptysis / Q000453:epidemiology; D006801:Humans; D011156:Population Density; D012044:Regression Analysis; D015203:Reproducibility of Results; D018401:Sample Size; D012621:Seasons; D013997:Time Factors