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  • 标题:Identifying Pediatric Cancer Clusters in Florida Using Log-Linear Models and Generalized Lasso Penalties
  • 本地全文:下载
  • 作者:Hao Wang ; Abel Rodríguez
  • 期刊名称:Statistics and Public Policy
  • 电子版ISSN:2330-443X
  • 出版年度:2014
  • 卷号:1
  • 期号:1
  • 页码:86-96
  • DOI:10.1080/2330443X.2014.960120
  • 出版社:Taylor and Francis Ltd
  • 摘要:We discuss the identification of pediatric cancer clusters in Florida between 2000 and 2010 using a penalized generalized linear model. More specifically, we introduce a Poisson model for the observed number of cases on each of Florida's ZIP Code Tabulation Areas (ZCTA) and regularize the associated disease rate estimates using a generalized Lasso penalty. Our analysis suggests the presence of a number of pediatric cancer clusters during the period over study, with the largest ones being located around the cities of Jacksonville, Miami, Cape Coral/Fort Meyers and Palm Beach.
  • 关键词:Disease Clustering;Generalized Lasso;Loglinear Models;Pediatric Cancer;Poisson Regression
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