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Spatial Clusters of Condyloma Acuminata and the Regional Risk Factors in South Korea: Bayesian Spatial Regression Analysis

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By Byung Chul Chun, Joonsu Jang, Seyul Park
| jmir.org
Background Objectives Study Design and Setting Data Sources and Variables Spatial Autocorrelation Cluster Detection (Hotspot Analysis) Variable Selection and Nonspatial Regression Analysis Bayesian Spatial Modeling Yi∼NB(r,pi),pi=rr+λi,E(Yi)=λi,Var(Yi)=λi+λi2r(1) log⁡λi=α+log⁡Ni+∑kβkXi,k+ηi(2) ηi=si,s=(s1,…,s250)T∼ICAR(W,σs2)(3) ηi=si+ui,ui~N(0,σu2)(4) Ethical Considerations Descriptive Statistics Mean (SD) Minimum Median Maximum CV Cases of CA, n 207.26 (179.48) 3 159.50 886 0.87 Incidence...
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