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  • 标题:Modeling Spatial Heterogeneity with Excess Zeroes from School Absenteeism dSata
  • 本地全文:下载
  • 作者:Xiaoxiao Song ; Qi Zhao ; Changming Zhou
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2015
  • 卷号:7
  • 期号:1
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要:Absenteeism has great advantages in promoting the early detection of epidemics. The spatial patterns of the data generally are polytropy and heterogeneity. The public health experts pay more attention to whether an outbreak will happen or/and how large the epidemic will be of school absenteeism data in spatial patterns. We construct simultaneously two set of random effects (u1, u2) in RE-ZIP to quantify this two kind spatial heterogeneity for 62 schools.
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