Evaluating the uncertainty caused by post office box addresses in environmental health studies: A restricted Monte Carlo approach

International Journal of Geographical Information Science

Volumn 21, Issue 3, 2007, Pages 325-340

  Shi, X ^a  

^a Dartmouth College ^*  (United States)

Author keywords

Cluster detection; Lung cancer; Monte Carlo simulation; PO Box address; Uncertainty

Indexed keywords

CLUSTER ANALYSIS; DATA SET; ENVIRONMENTAL HAZARD; MONTE CARLO ANALYSIS; POLYGON; SPATIAL DATA;

GRAFTON COUNTY; NEW HAMPSHIRE; NORTH AMERICA; UNITED STATES;

EID: 33947539377     PISSN: 13658816     EISSN: 17417546     Source Type: Journal    
DOI: 10.1080/13658810600924211     Document Type: Article

References (33)

1. Alexander, F. E. and Boyle, P. (1996) Methods for Investigating Localized Clustering of Disease, IARC Scientific Publications, No.135, Oxford University Press, Oxford
2. Besag, J. and Newell, J. (1991) The detection of clusters in rare diseases. Journal of the Royal Statistical Society Series A, 154, pp. 143-155.
3. Bhaduri, B., Bright, E., Coleman, P. and Dobson, J. (2002) LandScan: Locating people is what matters. Geoinformatics, 5, pp. 34-37.
4. Bonner, M. R., Han, D., Nie, J., Rogerson, P., Vena, J. E. and Freudenheim, J. L. (2003) Positional accuracy of geocoded addresses in epidemiologic research. Epidemiology, 14, pp. 408-412.
5. Dobson, J. E., Bright, E. A., Coleman, P. R., Durfee, R. C. and Worley, B. A. (2000) LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering & Remote Sensing, 66, pp. 849-857.
6. Centers For Disease Control (1899) Guidelines for investigating clusters of health events. Morbidity Mortality Weekly Report, pp. 1-23.
7. Clark, W. A. V. and Avery, K. L. (1976) The effect of data aggregation in statistical analysis. Geographical Analysis, 8, pp. 428-438.
8. Cromley, E. K. and McLafferty, S. L. (2002) GIS and Public Health, Guilford, New York
9. Fotheringham, A. S. and Wong, D. W. S. (1991) The modifiable areal unit problem in multivariate statistical analysis. Environmental and Planning A, 23, pp. 1025-1044.
10. Fotheringham, A. S. and Zhan, F. B. (1996) A comparison of three exploratory methods for clusters detection in spatial point patterns. Geographical Analysis, 28, pp. 200-218.
11. Gatrell, A. C., Bailey, T. C., Diggle, P. J. and Rowlingson, B. S. (1996) Spatial point pattern analysis and its application in geographical epidemiology. Transactions of the Institute of British Geographers, 21, pp. 256-274.
12. Holt, D., Steel, D. G., Tranmer, M. and Wrigley, N. (1996) Aggregation and ecological effects in geographically based data. Geographical Analysis, 28, pp. 244-261.
13. Hurley, S. E., Saunders, T. M., Nivas, R., Hertz, A. and Reynolds, P. (2003) Post Office Box Addresses: A challenge for geographic information system-based studies. Epidemiology, 14, pp. 386-391.
14. Jacquez, G. M. (1996) Disease cluster statistics for imprecise space-time locations. Statistics in Medicine, 15, pp. 873-885.
15. Jacquez, G. M. and Jacquez, J. A. (1999) Disease clustering for uncertain locations. Disease Mapping and Risk Assessment for Public Health Decision Making, pp. 151-168. Wiley, London
16. Jacquez, G. M. and Waller, L. A. (1999) The effect of uncertain locations on disease cluster statistics. Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing, pp. 53-64. Sleeping Bear Press, Chelsea, MI
17. Kelsall, J. E. and Diggle, P. J. (1995) Nonparametric estimation of spatial variation in relative risk. Statistics in Medicine, 14, pp. 2335-2342.
18. Krieger, N., Waterman, P., Lemieux, K., Zierler, S. and Hogan, J. W. (2001) On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research. American Journal of Public Health, 91, pp. 1114-1116.
19. Kulldorff, M. (1997) A spatial scan statistic. Communications in Statistics Theory and Methods, 26, pp. 1481-1496.
20. Kulldorff, M., Feuer, E. J., Miller, B. A. and Freedman, L. S. (1997) Breast cancer clusters in Northeastern United States: A geographic analysis. American Journal of Epidemiology, 146, pp. 161-170.
21. Kulldorff, M. and Nagarwalla, N. (1995) Spatial disease clusters: detection and inference. Statistics in Medicine, 14, pp. 799-810.
22. McElroy, J. A., Remington, P. L., Trentham-Dietz, A., Robert, S. A. and Newcomb, P. A. (2003) Geocoding addresses from a large population-based study: Lessons learned. Epidemiology, 14, pp. 399-407.
23. Openshaw, S. (1984) Ecological fallacies and the analysis of areal census data. Environmental and Planning A, 6, pp. 17-31.
24. Openshaw, S. (1996) Geographical information systems and tropical diseases. Transactions of the Royal Society of Tropical Medicine and Hygiene, 90, pp. 337-339.
25. Openshaw, S. (1996) Using a geographical analysis machine to detect the presence of spatial clustering and the location of clusters in synthetic data. Methods for Investigating Localized Clustering of Disease, pp. 68-86. IARC Scientific, Lyon
26. Openshaw, S., Charlton, M., Craft, A. W. and Birch, J. M. (1988) Investigation of leukaemia clusters by the use of a geographical analysis machine. Lancet, pp. 272-273.
27. Openshaw, S., Charlton, M., Wymer, C. and Craft, A. W. (1987) Developing a mark 1 Geographical Analysis Machine for the automated analysis of point data sets. International Journal of Geographical Information Systems, 1, pp. 335-358.
28. Openshaw, S., Turton, I. and MacGill, J. (1999) Using the geographical analysis machine to analyze limiting long-term illness census data. Geographical and Environmental Modeling, 3, pp. 83-89.
29. Ratcliffe, J. H. (2004) Geocoding crime and a first estimate of a minimum acceptable hit rate. International Journal of Geographical Information Science, 18, pp. 61-72.
30. Rushton, G. and Lolonis, P. (1996) Exploratory spatial analysis of birth defect rates in an urban population. Statistics in Medicine, 15, pp. 717-726.
31. Sabel, C. E., Gatrell, A. C., Löytönen, M., Maasilta, P. and Jokelainen, M. (2000) Modelling exposure opportunities: Estimating relative risk for motor neurone disease in Finland. Social Science and Medicine, 50, pp. 1121-1137.
32. Silverman, B. W. (1986) Density estimation for statistics and data analysis, Chapman & Hall/CRC, Boca Raton, FL
33. Waller, L. A. and Gotway, C. A. (2004) Applied Spatial Statistics for Public Health Data, Wiley, Hoboken, NJ