title: Cluster detection of spatial regression coefficients.
abstract: Popular approaches to spatial cluster detection, such as the spatial scan statistic, are defined in terms of the responses. Here, we consider a varying-coefficient regression and spatial clusters in the regression coefficients. For varying-coefficient regression, such as the geographically weighted regression, different regression coefficients are obtained for different spatial units. It is often of interest to the practitioners to identify clusters of spatial units with distinct patterns in a regression coefficient, but there is no formal statistical methodology for that. Rather, cluster identification is often ad-hoc such as by eyeballing the map of fitted regression coefficients and discerning patterns. In this paper, we develop new methodology for spatial cluster detection in the regression setting based on hypotheses testing. We evaluate our methods in terms of power and coverages for true clusters via simulation studies. For illustration, our methodology is applied to a cancer mortality dataset. Copyright © 2016 John Wiley & Sons, Ltd.
authors.affiliation: Department of Statistics, University of Wisconsin, Madison, 53706, WI, U.S.A.
authors.forename: Junho
authors.initials: J
authors.lastname: Lee
authors.affiliation: Department of Biostatistics and Medical Informatics and Department of Population Health Sciences, University of Wisconsin, Madison, 53726, WI, U.S.A.
authors.forename: Ronald E
authors.initials: RE
authors.lastname: Gangnon
authors.affiliation: Department of Statistics and Department of Entomology, University of Wisconsin, Madison, 53706, WI, U.S.A.
authors.forename: Jun
authors.initials: J
authors.lastname: Zhu
mesh_terms: D016000:Cluster Analysis; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D009369:Neoplasms / Q000401:mortality; D015144:Southeastern United States / Q000453:epidemiology; D000068916:Spatial Regression; D013223:Statistics as Topic
keywords: geographically weighted regression; hypothesis testing; spatial cluster detection; spatial scan statistic; varying coefficient regression