A Bayesian Hierarchical Spatial Model for Dental Caries Assessment Using Non-gaussian Markov Random

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  Research of dental disease generates data with two levels of hierarchy: that of a tooth overall and that of the different surfaces of the tooth.The outcomes often exhibit spatial referencing among neighboring teeth and surfaces,i.e.,the disease status of a tooth or surface might be in uenced by the status of a group of neighboring teeth/surfaces.
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