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Wang H, Rodríguez A. Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties. Stat Public Policy (Phila). 2014;1(1):86-96doi: 10.1080/2330443X.2014.960120.
Wang, H., & Rodríguez, A. (2014). Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties. Statistics and public policy (Philadelphia, Pa.), 1(1), 86-96. https://doi.org/10.1080/2330443X.2014.960120
Wang, Hao, and Rodríguez, Abel. "Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties." Statistics and public policy (Philadelphia, Pa.) vol. 1,1 (2014): 86-96. doi: https://doi.org/10.1080/2330443X.2014.960120
Wang H, Rodríguez A. Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties. Stat Public Policy (Phila). 2014;1(1):86-96. doi: 10.1080/2330443X.2014.960120. PMID: 25558468; PMCID: PMC4280570.
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Stat Public Policy (Phila). 2014;1(1):86-96. doi: 10.1080/2330443X.2014.960120.

Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties.

Statistics and public policy (Philadelphia, Pa.)

Hao Wang, Abel Rodríguez

Affiliations

  1. Department of Epidemiology and Biostatistics, Michigan State University, 909 Fee Road Room B601, East Lansing, Michigan 48824; Ph: (517) 353-8623 ext.169, URL: http://www.epi.msu.edu/faculty/wang.
  2. Department of Applied Mathematics and Statistics, University of California, Santa Cruz, 1156 High Street, Mailstop SOE2, Santa Cruz, CA, 95064; Ph.: (831) 459-1047, , URL: http://soe.ucsc.edu/abel.

PMID: 25558468 PMCID: PMC4280570 DOI: 10.1080/2330443X.2014.960120

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.

Keywords: Disease Clustering; Generalized Lasso; Loglinear Models; Pediatric Cancer; Poisson Regression

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