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Performance map of a cluster detection test using extended power

Authors :
Jean-Yves Boire
Xinran Li
Lemlih Ouchchane
Jacques Demongeot
Isabelle Perthus
Jean Gaudart
Aline Guttmann
Laboratoire de Biostatistique, Informatique médicale et Technologies de la communication
CHU Clermont-Ferrand-Université d'Auvergne - Clermont-Ferrand I (UdA)
Image Science for Interventional Techniques (ISIT)
Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS)
Périnatalité, grossesse, Environnement, PRAtiques médicales et DEveloppement (PEPRADE)
Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD)
Institut de Recherche pour le Développement (IRD)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU)
Unité de biostatistiques
Assistance Publique - Hôpitaux de Marseille (APHM)
AGeing and IMagery (AGIM)
Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École Pratique des Hautes Études (EPHE)
BMC, Ed.
Source :
International Journal of Health Geographics, International Journal of Health Geographics, BioMed Central, 2013, 12 (1), pp.47. ⟨10.1186/1476-072X-12-47⟩, International Journal of Health Geographics, 2013, 12 (1), pp.47. ⟨10.1186/1476-072X-12-47⟩
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; BACKGROUND: Conventional power studies possess limited ability to assess the performance of cluster detection tests. In particular, they cannot evaluate the accuracy of the cluster location, which is essential in such assessments. Furthermore, they usually estimate power for one or a few particular alternative hypotheses and thus cannot assess performance over an entire region. Takahashi and Tango developed the concept of extended power that indicates both the rate of null hypothesis rejection and the accuracy of the cluster location. We propose a systematic assessment method, using here extended power, to produce a map showing the performance of cluster detection tests over an entire region. METHODS: To explore the behavior of a cluster detection test on identical cluster types at any possible location, we successively applied four different spatial and epidemiological parameters. These parameters determined four cluster collections, each covering the entire study region. We simulated 1,000 datasets for each cluster and analyzed them with Kulldorff's spatial scan statistic. From the area under the extended power curve, we constructed a map for each parameter set showing the performance of the test across the entire region. RESULTS: Consistent with previous studies, the performance of the spatial scan statistic increased with the baseline incidence of disease, the size of the at-risk population and the strength of the cluster (i.e., the relative risk). Performance was heterogeneous, however, even for very similar clusters (i.e., similar with respect to the aforementioned factors), suggesting the influence of other factors. CONCLUSIONS: The area under the extended power curve is a single measure of performance and, although needing further exploration, it is suitable to conduct a systematic spatial evaluation of performance. The performance map we propose enables epidemiologists to assess cluster detection tests across an entire study region.

Details

Language :
English
ISSN :
1476072X
Database :
OpenAIRE
Journal :
International Journal of Health Geographics, International Journal of Health Geographics, BioMed Central, 2013, 12 (1), pp.47. ⟨10.1186/1476-072X-12-47⟩, International Journal of Health Geographics, 2013, 12 (1), pp.47. ⟨10.1186/1476-072X-12-47⟩
Accession number :
edsair.doi.dedup.....349212277ca3937f6570b8950759ac81