1. What contributions have the authors mentioned in the paper "Spatial scan statistics in loglinear models" ?
Zhang et al. this paper proposed an equivalent model-based approach to the spatial scan statistic that unifies currently loosely coupled methods for including ecological covariates in spatial scan test, which is demonstrated to account for overdispersion and heterogeneity in background rates.
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2. What are the future works mentioned in the paper "Spatial scan statistics in loglinear models" ?
Future work should explore various spatial explicit overdispersion measures and adjustment methods.. In this regard, their proposed Zs, o provides an approach for further extending Wald-based statistics to a wide range of models and model-based test statistics.. Even though their proposed methods and test statistics are based on Kulldorff ’ s spatial scan test, the idea can be used in other testing methods for spatial clusters for count data.. As the Wald z-value of an unknown parameter can be easily derived under a variety of statistical models, the modifications of the Wald-based spatial statistic for local cluster can be applied to modeling spatial clusters and clustering in many generalized linear mixed effect models.
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