Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

© 2014, © Andrew B. Lawson and Chawarat Rotejanaprasert. Published with license by American Statistical Association. © 2014, © Andrew B. Lawson and Chawarat Rotejanaprasert. In this article, we focus on geocoded data for pediatric brain cancer in Florida. Specifically, we examine zip code level pediatric brain cancer counts from the Florida Association of Pediatric Tumor Programs (FAPTP) childhood cancer registry from 2000–2010 and assess the degree of spatial clustering in these data. We assume Bayesian models for relative risk and examine a variety of posterior measures that indicate excess risk (exceedence probability of relative risk or positive residual). We assume a standard Poisson convolution model and examine a zero-inflated (ZI) model with a factored intercept. We conclude that there is evidence of excess risk in a number of relatively dispersed zip codes across the state but there appears to be some concentration of high excess risk in Polk, Lake, and Sumter counties (west of Orlando and north east of Tampa). These excesses are confirmed across the models.

Original publication

DOI

10.1080/2330443X.2014.970247

Type

Journal article

Journal

Statistics and Public Policy

Publication Date

22/12/2014

Volume

1

Pages

99 - 107