Discussion: Statistical Cluster Detection, Epidemiologic Interpretation, and Public Health Policy

Statistics and Public Policy

Volumn 2, Issue 1, 2015, Pages 1-8

  Waller, Lance A ^a  

^a NONE

Author keywords

Cancer clusters; Epidemiology; Spatial statistics

Indexed keywords

EID: 85017346432     PISSN: None     EISSN: 2330443X     Source Type: Journal    
DOI: 10.1080/2330443X.2015.1026621     Document Type: Note

References (24)

1. Abrams, B., Anderson, H., Blackmore, C., Bove, F.J., Condon, S.K., Eheman, C.R., Fagliano, J., Haynes, L.B., Lewis, L.S., Major, J., McGeehin, M.A., Simms, E., Sircar, K., Soler, J., Stanbury, M., Watkins, S.M., and Wartenberg, D., (2013), “Investigating Suspected Cancer Clusters and Responding to Community Concerns: Guidelines From CDC and the Council of State and Territorial Epidemiologists,” Morbidity and Mortality Weekly Report, 62, 1–14.
2. Alexander, F.E., and Boyle, P., (eds.) (1996), Methods for Investigating Localized Clustering of Disease, IARC Scientific Publications No. 135, Lyon, France: International Agency for Research on Cancer.
3. Amin, R.W., Hendryx, M., Shull, M., and Bohnert, A., (2014), “A Cluster Analysis of Pediatric Cancer Incidence Rates in Florida: 2000–2010,” Statistics in Public Policy, 1, 69–77.
4. Bender, A.P., Williams, A.N., Johnson, R.A., and Jagger, H.G., (1990), “Appropriate Public Health Responses to Clusters: The Art of Being Responsibly Responsive,” American Journal of Epidemiology, 132, S48–S52.
5. Besag, J., Green, P., Higdon, D., and Mengersen, K., (1995), “Bayesian Computation and Stochastic Systems” (with discussion), Statistical Science, 10, 3–66.
6. Besag, J., York, J.C., and Mollié, A., (1991), “Bayesian Image Restoration, With Two Applications in Spatial Statistics” (with discussion), Annals of the Institute of Statistical Mathematics, 43, 1–109.
7. Best, N., Arnold, R.A., Thomas, A., Waller, L.A., and Conlon, E.M., (1999), “Bayesian Models for Spatially Correlated Disease and Exposure Data,” in Bayesian Statistics 6, eds. J.M., Bernardo, J.O., Berger, A.P., Dawid, and A.F. M., Smith, Oxford: Oxford University Press, pp. 131–156.
8. Beyer, K.M. M., Schultz, A.F., and Ruston, G.A., (2008), “Using ZIP Codes as Geocodes in Cancer Research,” in Geocoding Health Data: The Use of Geographic Codes in Cancer Prevention and Control, Research, and Practice, eds. G.A., Rushton, M.P., Armstrong, J., Gittler, B.R., Greene, C.E., Pavlik, M.M., West, and D.L., Zimmerman, New York: CRC Press, pp. 37–68.
9. Coory, M.D., and Jordan, S., (2013), “Assessments of Chance Should be Removed From Protocols for Investigating Cancer Clusters,” International Journal of Epidemiology, 42, 440–447.
10. Goodman, M., Naiman, N.S., Goodman, D., and LaKind, J.S., (2012), “Cancer Clusters in the USA: What do the Last Twenty Years of State and Federal Regulations Tell Us?” Critical Reviews in Toxicology, 42, 474–490.
11. Grieco, E.M., and Cassidy, R.C., (2001), Overview of Race and Hispanic Origin. Census 2000 Brief C2KBR/01-1, Washington, DC: U.S. Census Bureau.
12. Grubesic, T.H., and Matisziw, T.C., (2006), “On the Use of ZIP Codes and ZIP Code Tabulation Areas (ZCTAs) for the Spatial Analysis of Epidemiological Data,” International Journal of Health Geographics, 5, 58.
13. Heaton, M.J., (2014), “Wombling Analysis of Childhood Tumor Rates in Florida,” Statistics and Public Policy, 1, 60–67.
14. Lawson, A.B., (2006), Statistical Methods in Spatial Epidemiology (2nd ed.), Chichester: Wiley.
15. Lawson, A.B., and Rotejanaprasert, C., (2014), “Childhood Brain Cancer in Florida: A Bayesian Clustering Approach,” Statistics and Public Policy, 1, 99–107.
16. Neutra, R.R., (1990), “Counterpoint From a Cluster Buster,” American Journal of Epidemiology, 132, 1–8.
17. Ren, C., Lim, S., Hylton, T., Huang, Y., Button, J., Wohler, B., Levin, G., and MacKinnon, J., (2012), Florida Annual Cancer Report: 2008 Incidence and Mortality, Tallahassee, FL: Florida Department of Health.
18. Rothman, K.J., (1990), “A Sobering Start to the Cluster Busters’ Conference,” American Journal of Epidemiology, 132, S6–S13.
19. Tango, T., (2010), Statistical Methods for Disease Clustering, New York: Springer.
20. Thun, M.J., and Sinks, T., (2004), “Understanding Cancer Clusters,” CA: A Cancer Journal for Clinicians, 54, 273–280.
21. Waller, L.A., (2009), “Detection of Clustering in Spatial Data,” in The SAGE Handbook of Spatial Analysis, eds. A.S., Fotheringham and P.A., Rogerson, London: SAGE.
22. Waller, L.A., and Gotway, C.A., (2004), Applied Spatial Statistics and Public Health Data, Hoboken, NJ: Wiley.
23. Wang, H., and Rodriguez, A., (2014), “Identifying Pediatric Cancer Clusters in Florida Using Loglinear Models and Generalized Lasso Penalties,” Statistics and Public Policy, 1, 96–86.
24. Zhang, Z., Lim, C.Y., and Maiti, T., (2014), “Analyzing 2000–2010 Childhood Age-Adjusted Cancer Rates in Florida: A Spatial Clustering Approach,” Statistics and Public Policy, 1, 120–128.