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Activity Number: 301
Type: Topic Contributed
Date/Time: Tuesday, August 11, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #315564 View Presentation
Title: Identifying Pediatric Cancer Clusters in Florida Using Loglinear Models and Generalized Lasso Penalties
Author(s): Hao Wang* and Abel Rodriguez
Companies: Michigan State University and UC Santa Cruz
Keywords: Loglinear Models ; Generalized Lasso ; Poisson Regression ; Disease Clustering ; Pediatric Cancer.
Abstract:

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.


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