A Marginalized Zero-Inflated Negative Binomial Model for Spatial Data: Modeling COVID-19 Deaths in Georgia.

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作者： Fedelis,Mutiso ^[1] ; John L,Pearce ^[2] ; Sara E,Benjamin-Neelon ^[3] ; Noel T,Mueller ^[4] ; Hong,Li ^[5] ; Brian,Neelon ^[6]

作者单位： Division of Biostatistics, Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA. ^[1] Division of Environmental Health, Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA. ^[2] Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. ^[3] Department of Pediatrics Section of Nutrition, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA. ^[4] Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA. ^[5] Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, California, USA. ^[6] Charleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson VA Medical Center, Charleston, South Carolina, USA. ^[7]

关键词 B$B$‐splines Pólya‐gamma distribution conditionally autoregressive prior marginalized models zero inflation

主题词人类(Humans);佐治亚(Georgia);模型, 统计学(Models, Statistical);生物测量学(Biometry);贝叶斯定理(Bayes Theorem);二项分布(Binomial Distribution)

DOI 10.1002/bimj.202300182

PMID 39001709

发布时间 2024-07-13

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